Sort by
Refine Your Search
-
fascinated by how the brain predicts the world around us? Join the cutting-edge NWO-funded project ‘DBI2’ as a PhD candidate and help unravel how the brain encodes prediction errors. Work at the interface
-
faculty, industry partners and international researchers, (iv) be part of an inclusive, supportive and innovative academic culture where your ideas and contributions matter, and (v) whether you aim for a
-
medical biology educational programme for which you will assist in one or two courses per year and supervise BSc and MSc students within the context of your project. Would you like to learn more about what
-
candidates at Radboud University are given plenty of opportunities for continuous development, and strong support, both during their PhDs and afterwards (to find a job in academia or industry). See here
-
demanding applications as in environmental and exposure monitoring, and the green hydrogen industry? If so, then you have a part to play as a PhD candidate in our research team. Put your ideas to the test at
-
in the process (e.g. development of questionnaires). You will present the results at scientific conferences and in peer-reviewed scientific journals. At the end of the project, you will help organise a
-
will develop a method to help development teams choose the right algorithm and right hardware. This can be done by measuring (during the above-mentioned experiments) how the algorithms are constrained
-
. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
-
(UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
for the optimal control and simulation of multiphysics systems arising in Nonlinear Acoustics. The goal is to advance our rigorous understanding and computational treatment of nonlinear differential equations