[jobs] Post-doctoral research associate in medical statistics for digital health research
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Niels Peek
Jan 13, 2022, 1:24:19 PM1/13/22
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The University of Manchester (UK) is seeking to appoint a talented, enthusiastic and self-motivated Post-doctoral Research Associate in Applied Medical Statistics, to join the Digital Health Research Theme within the NIHR Applied Research Collaboration for Greater Manchester (ARC-GM).
The NIHR ARC-GM aims to implement and evaluate a range of digital interventions in health and social care for disease prevention, self-management, and integrated and personalised care, and healthy ageing. The overall purpose of the position is to assist in these activities through statistical analysis of health data. In all activities, strong synergy will be sought with the other NIHR GM ARC themes.
All evaluations will have both qualitative and quantitative components, with qualitative and quantitative researchers working closely together. As the post holder, you will lead the quantitative aspects of the research. You will use methods from statistics, epidemiology, and machine learning, applying them to real-world health data to understand how interventions are implemented in practice and which factors affect their adoption, use, safety, and effectiveness. Data sources will be electronic health records (and other routinely collected healthcare data) and personal health datasets collected through smartphones and wearable devices.
You will need excellent skills and experience in analysing health data, using statistical modelling and programming techniques. You will also need to have a track record of productivity evidenced through peer reviewed journal publications.
More information: https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=21152
Enquiries about the vacancy, shortlisting and interviews: Prof Niels Peek, niels...@manchester.ac.uk
Ludovico Montalcini
Jan 16, 2022, 10:13:07 AM1/16/22
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Dear Colleague,
Apologies if you receive multiple copies of this announcement.
Please kindly help forward it to potentially interested authors/attendees, thanks!
--
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – #LOD2022 - September 19-22, Certosa di Pontignano, #Tuscany - Italy
LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders
https://lod2022.icas.cc
l...@icas.cc
PAPERS SUBMISSION: March 23 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022
PAPER FORMAT:
Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.
TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers:
* long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format);
* short paper: an extended abstract of novel work (max. 5 pages);
* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
* abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference.
Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.
It is also possible to present the talk virtually (Zoom).
LOD 2022 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA
LOD 2022 TUTORIAL SPEAKER:
* Simone Scardapane, University of Rome "La Sapienza", Italy
ACAIN 2022 KEYNOTE SPEAKERS:
* Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging
* Wulfram Gerstner, EPFL, Switzerland
* Max Erik Tegmark, MIT, USA & Future of Life Institute
https://acain2022.artificial-intelligence-sas.org/course-lecturers/
More Speakers Coming soon!
PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/
Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal
Marco Gori, University of Siena, Italy
Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany
TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/
*) Special Session on AI for Sustainability
We welcome contributions on AI for Sustainable Development, AI for Sustainable Urban Mobility, AI for Food Security, AI to fight Deforestation, cutting-edge technology AI to create Inclusive and Sustainable development that leaves no one behind.
*) Special Session on AI to help to fight Climate Change
AI is a new tool to help us better manage the impacts of climate change and protect the planet. AI can be a “game-changer” for climate change and environmental issues.
AI refers to computer systems that “can sense their environment, think, learn, and act in response to what they sense and their programmed objectives,”
World Economic Forum report, Harnessing Artificial Intelligence for the Earth.
We accept papers/short papers/talks at the intersection of climate change, AI, machine learning and data science. AI, Machine Learning and Data Science can be invaluable tools both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.
We invite submissions using AI, Machine Learning and/or Data Science to address problems in climate mitigation/adaptation including but not limited to the following topics:
* Industrial Session
Chair: Giovanni Giuffrida – Neodata.
* Special Session on Explainable Artificial Intelligence
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/
PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/
VENUE:
https://lod2022.icas.cc/venue/
The venue of LOD 2022 will be The Certosa di Pontignano — Siena
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
in...@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi
You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Certosa di Pontignano.
ACTIVITIES:
https://lod2022.icas.cc/activities/
POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2021/12/poster-LOD-2022-1.png
Submit your research work today!
https://easychair.org/conferences/?conf=lod2022
See you in the beautiful Tuscany in September!
Best regards,
LOD 2022 Organizing Committee
LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/
Past Editions
https://lod2022.icas.cc/past-editions/
LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes 13163 and 13164.
LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566.
LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943.
LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
MOD 2015, International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy. Springer – LNCS volume 9432.
https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/12092025/
l...@icas.cc
https://lod2022.icas.cc
* Apologies for multiple copies. Please forward to anybody who might be interested *
Apologies if you receive multiple copies of this announcement.
Please kindly help forward it to potentially interested authors/attendees, thanks!
--
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – #LOD2022 - September 19-22, Certosa di Pontignano, #Tuscany - Italy
LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders
https://lod2022.icas.cc
l...@icas.cc
PAPERS SUBMISSION: March 23 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022
PAPER FORMAT:
Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.
TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers:
* long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format);
* short paper: an extended abstract of novel work (max. 5 pages);
* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
* abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference.
Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.
It is also possible to present the talk virtually (Zoom).
LOD 2022 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA
LOD 2022 TUTORIAL SPEAKER:
* Simone Scardapane, University of Rome "La Sapienza", Italy
ACAIN 2022 KEYNOTE SPEAKERS:
* Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging
* Wulfram Gerstner, EPFL, Switzerland
* Max Erik Tegmark, MIT, USA & Future of Life Institute
https://acain2022.artificial-intelligence-sas.org/course-lecturers/
More Speakers Coming soon!
PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/
Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal
Marco Gori, University of Siena, Italy
Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany
TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/
*) Special Session on AI for Sustainability
We welcome contributions on AI for Sustainable Development, AI for Sustainable Urban Mobility, AI for Food Security, AI to fight Deforestation, cutting-edge technology AI to create Inclusive and Sustainable development that leaves no one behind.
*) Special Session on AI to help to fight Climate Change
AI is a new tool to help us better manage the impacts of climate change and protect the planet. AI can be a “game-changer” for climate change and environmental issues.
AI refers to computer systems that “can sense their environment, think, learn, and act in response to what they sense and their programmed objectives,”
World Economic Forum report, Harnessing Artificial Intelligence for the Earth.
We accept papers/short papers/talks at the intersection of climate change, AI, machine learning and data science. AI, Machine Learning and Data Science can be invaluable tools both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.
We invite submissions using AI, Machine Learning and/or Data Science to address problems in climate mitigation/adaptation including but not limited to the following topics:
* Industrial Session
Chair: Giovanni Giuffrida – Neodata.
* Special Session on Explainable Artificial Intelligence
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/
PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/
VENUE:
https://lod2022.icas.cc/venue/
The venue of LOD 2022 will be The Certosa di Pontignano — Siena
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
in...@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi
You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Certosa di Pontignano.
ACTIVITIES:
https://lod2022.icas.cc/activities/
POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2021/12/poster-LOD-2022-1.png
Submit your research work today!
https://easychair.org/conferences/?conf=lod2022
See you in the beautiful Tuscany in September!
Best regards,
LOD 2022 Organizing Committee
LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/
Past Editions
https://lod2022.icas.cc/past-editions/
LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes 13163 and 13164.
LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566.
LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943.
LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
MOD 2015, International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy. Springer – LNCS volume 9432.
https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/12092025/
l...@icas.cc
https://lod2022.icas.cc
* Apologies for multiple copies. Please forward to anybody who might be interested *
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