Sort by
Refine Your Search
-
Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of artificial intelligence for renewable energy. This PhD opportunity within the research group Modelling
-
in the field of artificial intelligence for renewable energy. This PhD opportunity within the research group Modelling for Sustainability (M4S) offers you the chance to contribute to climate change
-
Faculty of Applied Engineering of the University of Antwerp is looking for a full-time (100%) doctoral scholarship holder in the field of artificial intelligence for renewable energy. This PhD opportunity
-
. Consumers and citizens will play an important role in the transition to net zero carbon energy through flexible energy use and matching demand to available renewable energy supply, thus reducing the need
-
engineering, mechanical engineering or geosciences. The candidate should have an interest in renewable energy. Good mathematical and programming skill is an asset. The joint thesis will be carried out between
-
Institute), we aim to understand how leukemic cells that survive chemotherapy (persisters) evade T-cell recognition and contribute to disease relapse. We will study both the landscape of MHC-I peptides
-
hub for renewable H2 molecules.In the context of these global and local evolutions, Ghent University (UGent) focuses on an important link in the future hydrogen economy, being the storage of hydrogen in
-
methods for these diseases. Approaches range from human genetics and genomics to protein biochemistry and neuronal and glial cell biology, while models include yeast, fly, mouse, and pluripotent human cell
-
analysis or equivalent is a plus Experience with such analyses on renewable energy technology or PV in particular is a plus. LanguagesENGLISH Additional Information Benefits You will be appointed and paid as
-
periodic renewable energy and the production of alternative energy sources such as H2 . More specifically you will actively participate in the design, development and/or testing of efficient electrocatalysts