38 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" PhD positions at Ghent University in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
-
less critical materials. In particular for this PhD, the focus is on using aluminum as conductor material instead of copper, and to study how aluminum can be used together with other sustainable
-
, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months. Exposure to GMP manufacturing practices, validation, regulatory science and
-
challenge remains: integrating large genetic constructs, such as transgenes (e.g., gfp), into the genome. This PhD project aims to overcome this final barrier by thoroughly analyzing the DNA repair mechanisms
-
policy choices on the overall carbon emissions of the stock. The aim of the research is to obtain a PhD diploma. You will be part of the UGent Building Physics research group (Faculty of Engineering and
-
, Biomedical Sciences or equivalent. Students in their final year are also eligible to apply. You have a strong interest in research and are highly motivated to complete a PhD within a 4-year period. You have
-
to understand the roadblocks towards electrically pumped lasing. Job profile Job profile You hold a Masters degree in Physics, Applied Physics, Photonics, Physical Chemistry or equivalent You are a motivated
-
(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
-
analytics, and spatio-temporal and quantitative criminology. The position will start on 01 Oct 2025, or as soon as possible thereafter. The selected PhD student is expected to contribute to a FWO research
-
Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation