Digitalization in the Life Sciences

AI and machine learning are integral to everyday life, from streaming services to smart home controls and data analysis. Understanding these technologies is crucial for navigating digital trends, alongside essential data literacy in managing large datasets.

Despite their importance, interdisciplinary IT skills for life sciences students remain underrepresented in universities. These skills enhance CVs and support intelligent data analysis in research projects, making them invaluable.

Our objective is to offer courses covering programming, data analytics, machine learning, and AI basics. Courses will focus on information systems, IoT, and applications in fields like environmental sciences and health. Initially, we'll provide a selection of flexible courses suitable for M.Sc. and Ph.D. students, with options for short-term intensive or distance-learning formats.

 

Summer School

Practical Introduction into Programming with Python
Czech University of Life Science (CZU), Prague, Czech Republic
07 - 12 July 2024

More information...

 

Coordingating University: UHOH

 

Contact Information

University Name E-Mail

UHOH

 

 

Christian Krupitzer

Gabriele Klumpp

Annemarie Jung 

christian.krupitzer@uni-hohenheim.de

gabriele.klumpp@uni-hohenheim.de

annemarie.jung@yahoo.de

WUR Lukasz Grus

lucas.grus@wur.nl

HUJI Asaf Levy

alevy@mail.huji.ac.il

CZU

Martin Pelikan

Martin Hanel

pelikan@pef.czu.cz

hanel@fzp.czu.cz

BOKU

Chris Oostenbrink

chris.oostenbrink@boku.ac.at

SLU

Geir Löe

Lotta Höglund 

geir.loe@slu.se

lotta.hoglund@slu.se

SGGW Wioleta Sobczak

wioleta_sobczak@sggw.edu.pl

AGRO David Causeur

david.causeur@agrocampus-ouest.fr

UGent Willem Waegeman willem.wageman@ugent.be
UNITUS Massimo Cecchini

cecchini@unitus.it

Mailing-list  Ells-digitalization@listserv.uni-hohenheim.de

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