Sort by
Refine Your Search
-
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
-
cells? If so, then this is the job for you! We are looking for a PhD candidate to join our ZonMW-funded Genetic Plasticity consortium to help understand the fate of aneuploid cells during early human
-
of variations to study problems in materials science, particularly on the self-assembly of polymers. The goal of this project is to provide a sound understanding of the mechanisms that regulate pattern formation
-
possibilities in adaptive materials or soft robotics. Imagine interactive hydrogels that self-assemble from a ’’design-less’ state and can get their morphology optimised to perform targeted mechanical operations
-
talented PhD candidate to work on a new research line into moral decision-making. The project aims to develop a Bayesian computational model of moral decision-making to test various hypotheses about the
-
will be joining a dynamic academic environment at Radboud University, where interdisciplinary collaboration and societal impact are strongly valued. The project contributes to filling a significant gap
-
you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge
-
project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy
-
of cosmology and quantum gravity, using techniques from quantum field theory and quantum gravity. The project will be supervised by Dr Frank Saueressig (Radboud University) and Prof. Marieke Postma (Nikhef
-
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