-
of apocalypse can also figure as a productive instrument for exploring and defining identities. For this project, you are invited to consider together fields such as Indigenous Studies, Environmental Humanities
-
PhD Candidate: Neurocognitive Mechanisms of Alternative Thinking at the Donders Centre for Cognition
to gain insight into the role and mechanisms of alternative thinking. By embedding participants in live interactions with other human agents, this project will study alternative thinking in an experimental
-
to consider together fields such as Indigenous Studies, Environmental Humanities, Postcolonial Studies, Settler Colonial Studies, and American Studies, through literary studies methods. Your project will focus
-
. Profile A graduate degree (Master’s degree) in Neuroscience, Biomedical Engineering, Medical Biology, Human Movement Science, Cognitive Science or a related discipline is required, and thereby solid
-
researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes: 1. Language and communication, 2. Perception, action and
-
models. The aim is to understand the ‘magic’ of generative diffusion models and cast light on the computational basis of our own human memory as well. Depending on the specific project, you will
-
staff position within a Research Infrastructure? No Offer Description Are you an aspiring data science researcher with an interest in human immunology, causal inference in dynamical systems, and/or
-
, you will use a computational approach to model and predict neural responses within the human visual system as well as behavioural performance, and test the neural and behavioural implications
-
PhD Candidate: Neurocognitive Mechanisms of Alternative Thinking at the Donders Centre for Cognition
with other human agents, this project will study alternative thinking in an experimental context closer to the boundary conditions of the problems the brain evolved to solve, testing the possibility
-
the architecture of the human brain. This project aims to co-develop algorithms for neuromorphic hardware, focusing on the inherent stochasticity in neuromorphic materials. This will pave the way towards solutions