39 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at VIB in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the VIB career portal (https://jobs.vib.be/apply/130479 ) before 28 February 2026. Please, provide your CV, 2 reference contacts and a motivation letter.
-
). The position is available upon agreement. For further information visit https://brunnerlab.sites.vib.b... and contact Prof. Janine Brunner (janine.brunner@vub.be).
-
work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
-
to apply Please complete the online application procedure (https://jobs.vib.be/apply/131401 ) and include a detailed CV and a motivation letter. For further information and questions, please send an email to
-
includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
-
Application tool (https://jobs.vib.be/apply/130981 ). Required documents: detailed CV motivation letter names and contact details of 3 referees (if available) More information: bart.destrooper@kuleuven.be
-
www.psb.ugent.be for more information. Jenny Russinova lab at PSB focuses on research on brassinosteroid hormones (https://www.russinovalab.be ). Job description Brassinosteroids are steroidal phytohormones
-
: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 Profile Master’s in bio
-
analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
-
of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational