Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In this project, we will focus on increasing validity
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 23/12/2025 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty
-
Recognised Researcher (R2) Country Belgium Application Deadline 12 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
-
of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
-
- 23:59 (UTC) Type of Contract Temporary Job Status Part-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
-
are in line with the faculty and university research policies . Your teaching competences are in line with the University of Antwerp’s educational vision . You are motivated to apply computational methods
-
-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation
-
8 Nov 2025 Job Information Organisation/Company Université catholique de Louvain Research Field Biological sciences » Other Computer science » Programming Computer science » Other Engineering
-
Researcher (R2) Country Belgium Application Deadline 2 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
field of molecular and computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to