Sort by
Refine Your Search
-
-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot.The successful candidate
-
sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
-
jointly affiliated with the Department of Clinical Biology/Microbiology Diseases at UZ Brussel, Bioinformatics group at the VUB and the sequencing platform BRIGHTcore. More concretely your work package, for
-
. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
-
actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
-
of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
-
thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
-
thesis in the field of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously
-
research will address clinically relevant questions that arise directly from patient care, including treatment sequencing, optimization of systemic therapies, management of (high-grade) NEN. In addition, you