19 machine-learning positions at Radboud University in the-netherlands

PhD Position in Computational Biology: Using Machine Learning to Understand the Immune System

computer vision? Would you like to apply AI and machine learning for fundamental research in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will

PhD Position in Computational Biology: Using Machine Learning to Understand the Immune System

aspiring data science researcher with an interest in human immunology, causal inference in dynamical systems, and/or computer vision? Would you like to apply AI and machine learning for fundamental research

PhD Candidate: Generative Diffusion Modelling and Associative Memory at the Donders Centre for Cognition

main responsibility will be to work on research projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses

PhD Candidate: Generative Diffusion Modelling and Associative Memory at the Donders Centre for Cognition

projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses and calculations to elucidate their properties. In

PhD Candidate: Computational Cognitive Neuroscience at the Predictive Brain Lab

of artificial intelligence and machine learning have put artificial neural networks firmly on the map as a promising approach to both model and understand biological brains. This PhD project aims to harness

PhD Candidate: Computational Cognitive Neuroscience at the Predictive Brain Lab

predictive processing in perception. Recent advances in the field of artificial intelligence and machine learning have put artificial neural networks firmly on the map as a promising approach to both model and

Assistant Professor Big Data Astronomy

learning techniques are increasingly required. The Radboud astrophysics group has extensive expertise, for example in star and stellar-population models; machine-learning techniques for the extraction

PhD Candidate: Neuromorphic Computing for Science

Research Infrastructure? No Offer Description Are you interested in a project at the interface between physics, machine learning and neuromorphic computing? Do you thrive for both fundamental and societal

PhD Candidate: Integrating Biopsychological Data to Capture Individual Differences at the Donders Centre for Cognition

Science or a related field. You have experience in quantitative analysis of cognitive performance data. You have a demonstrable affinity with using mathematical models and/or machine learning methods. You are

PhD Candidate: Integrating Biopsychological Data to Capture Individual Differences at the Donders Centre for Cognition

have experience in quantitative analysis of cognitive performance data. You have a demonstrable affinity with using mathematical models and/or machine learning methods. You are experienced at programming