Fwd: Registration open for free online BioSASH hackathon #2, October 14th, 2021

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Aug 3, 2021, 12:17:28 PMAug 3
to hack...@googlegroups.com, arduino-brasilia, sis_emb...@googlegroups.com, DIYbio, Python Brasil, pytho...@python.org

Application form:

https://docs.google.com/forms/d/e/1FAIpQLSfUHf1eUk3WQdUmdysAz_XiFF4OxSacRllsXlqortP_mAUbRg/viewform


-------- Mensagem encaminhada --------
Assunto: Registration open for free online BioSASH hackathon #2, October 14th, 2021
Data: Tue, 3 Aug 2021 08:10:52 +0200
De: Carmen Condrau <carmen....@sila-standard.org>
Para: Carmen Condrau <carmen....@sila-standard.org>


BioSASH online hackathon #2
October 14th, 10am - 6pm (CEST)

 


Dear SiLA friends and members

SiLA in cooperation with BioLAGO invites you to the second hackathon on laboratory automation "Faster and Safer Labs" that actively addresses the needs of lab users. Increase the capabilities of technology that contributes to progress for lab automation!

Seize the opportunity and join our second virtual event in which innovative ideas and approaches to solutions for automation in the laboratory will be developed.

The target audience for the upcoming hackathons are both experienced and inexperienced coders as well as lab users who wishes to exchange with top European experts in the field of automation and IT development.

We cordially invite lab users, universities, interested students, companies, start- ups and organisations from life science and clinics as well as programmers to join our event.
This will be the second of four planned events. It is not too late to join a team that contribute to smarter, safer and faster labs.

Come together – learn, network and
be part of a progressive innovative group!

Find out how SiLA and AnIML standards can be implemented, connect with people and exchange your ideas and experiences. If you are interested in robotics solutions then this is the right event for you.

Don´t miss the opportunity to come together and to create synergies.

 

 

 

Funded by: This Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the DIH-HERO grant agreement no 825003.

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