Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
society and care deeply about supporting each other's growth. How to apply? If you are interested in this challenging and rewarding opportunity, please submit your application via our online form (https
-
Experience in wet lab molecular biological techniques. Programming experience demonstrated with good programming practice (maintaining code repositories, version control, R, Python). Experience in working with
-
on SWITCH Lab alumni can be found here . Starting Date: as soon as possible How to apply? For more information contact hannah.wilkinson@kuleuven.be. Please complete the online application procedure (https
-
(https://jobs.vib.be/j/132378/laboratory-technician-neuroprotein-engineering ) and include a detailed CV including list of publications, a motivation letter, and the contact information of at least two
-
for a Project Management and Operations Officer. One of your main tasks will be to take on the role of Node Coordinator in ELIXIR Belgium (https://elixir-europe.org/about-us/who-we-are/nodes/belgium
-
-of-the-art office in Ghent, with the flexibility to work one or two days from home How to apply Please complete the online application procedure (https://jobs.vib.be/apply/131347 ) and include a detailed
-
past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
-
). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
-
Code9000StreetSuzanne Tassierstraat 1Geofield Contact City Ghent Website http://www.vib.be Street Suzanne Tassierstraat 1 Postal Code 9052 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
-
and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run