Course Date: Monday 11 March - Friday 15 March 2024
Venue: Virtual Event
Application deadline: Sunday 26th November 2024
Participation: Open application with competitive selection
Contact: Marta Lloret Llinares <marta....@ebi.ac.uk>
Trainers:
Industry: Lourdes Cucurull-Sanchez [GSK], Blerta Shtylla [Pfizer Worldwide R&D]
Academic:
Fabian Fröhlich [The Francis Crick Institute], Jordi Garcia-Ojalvo [Pompeu Fabra University]
James Glazier [Indiana University], Tomáš Helikar [University of Nebraska-Lincoln], Kalpana Panneerselvam [EMBL-EBI]
Miguel Rocha [Universidade do Minho], Oscar Dias [Universidade do Minho], Krishna Kumar Tiwari [EMBL-EBI]
In the previous years, our participants were from academic and industrial background and from various phase of career including PhD students and full professors / Industrial researchers. And they provided excellent feedback.
An overview of the course, audience description can be found on the course webpage https://www.ebi.ac.uk/training/events/mathematics-life-modelling-molecular-mechanisms/
The course is promoted for experimental biologists, bioinformaticians and mathematicians who have just started to work on systems biology modelling, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of modelling approaches to understand fundamental biological problems and application in pharma Industry. In the course you will (i) Identify the strengths and weaknesses of systems qualitative and quantitative modelling approaches (ii) Access, query, and retrieve data/models from public repositories for systems biology modelling (iii) Use modelling software to develop reproducible systems biology models and (iv) Discuss the real-life application of models in fundamental and industrial research
BioModels - Model of the year 2024 Competition - Deadline 20th January 2024
Following the success of the Model of the year 2023 Competition, we have now opened the applications for Model of the year’ competition 2024 . Application deadline is 20th January 2024
The competition aims to recognise exciting mathematical models of biological systems and the modellers who build them. This is an excellent opportunity for early career modellers to showcase their work.
More details here: https://www.ebi.ac.uk/biomodels/competition/model-of-the-year-2024