46 postdoc-in-distributed-systems-and-controls PhD positions at Ghent University in Belgium
Sort by
Refine Your Search
-
between pollen chemistry, pathogens and bee health is still poorly understood and represents the focus of this collaborative project. Position 1 at TUM: The TUM position will primarily focus on the role
-
and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
-
that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
-
conversation structure). A second aspect, pertaining to both (2) and (3), is to control the bot’s language generation for (cultural/gender) bias, sentiment, etc. The PhD will be carried out in collaborative
-
. You are willing to work in a multidisciplinary context• Previous experience with active inference, reinforcement learning or other ML-based techniques for control is considered a plus but is not a
-
is known about how these changes are connected to the accumulation of lipids in microglia, and how this promotes neurodegeneration. In this project, we aim to elucidate how lipid metabolism controls
-
Job description ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as
-
Job description A fully funded PhD scholarship in site specific fertilization and manure application ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people
-
. Detailed job description You will work on a fundamental research project funded by the FWO-Flanders. This work is on the design and control of a hybrid robot that takes advantage of the compliance of cobots
-
for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical