Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KU LEUVEN
- Ghent University
- University of Antwerp
- VIB
- Vrije Universiteit Brussel
- Nature Careers
- Université Catholique de Louvain (UCL)
- Flanders Institute for Biotechnology
- Ghent University;
- Hasselt University
- IMEC
- KU Leuven
- Katholieke Universiteit Leuven
- University of Liège
- Université Libre de Bruxelles (ULB)
- Université catholique de Louvain (UCL)
- Vrije Universiteit Brussel (VUB)
- 7 more »
- « less
-
Field
-
the research group ACDC (Antwerp Centre for Digital humanities and literary Criticism). In the project, you will be responsible for the metadata relating to Joyce’s library, as well as the analysis and
-
and engineer novel optical designs. You have proven experience with programming and a motivated interest in programming image analysis algorithms. You have proven experience, or show a motivated
-
, compilations of local legislation and commentaries thereon, as well as rulings by municipal courts. You will conduct research in archives. Based on an analysis of source material, the candidate will examine how
-
their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
-
will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human tissue studies. The candidate holds a Master degree in biomedical sciences, medicine
-
. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
-
analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
-
to better understand the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying