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8 Mar 2024 Job Information Organisation/Company Radboud University Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 8 Apr 2024 - 00
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, human movement sciences, biomedical engineering, artificial intelligence, computational neuroscience). You have a demonstrable interest and experience in probabilistic and/or other modelling approaches
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for this include automated reverse engineering with state machine inference to spot flaws in the program logic, the LangSec (Language-theoretic Security) approach to structurally improve input handling, and security
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PhD Candidate: Neurocognitive Mechanisms of Alternative Thinking at the Donders Centre for Cognition
to research using a new neuroimaging technology to track neural activity during communicative and emotional control challenges? Then join the Donders Centre for Cognition as a PhD candidate! This project aims
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PhD Candidate: Neurocognitive Mechanisms of Alternative Thinking at the Donders Centre for Cognition
you fascinated by the connection between adapting communication and managing emotions? And do you want to contribute to research using a new neuroimaging technology to track neural activity during
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to progress in this unique environment. Nikhil Seeja Sivakumar PhD candidate at the Faculty of Science Read Nikhil's story Profile You have a Master's degree in social science, science and technology studies
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focuses on integration of the developed technology into a sensor. For the success of the programme, a close collaboration between the two projects and with the other project partners is crucial. Besides the
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, Jan Korvink, and Benno Meier) in three institutions (ENS Paris, Radboud University Nijmegen, and Karlsruhe Institute of Technology). Our partners Alvar Gossert (ETH Zürich) and Claudio Dalvit (Trento
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whether findings generalise across various contexts. Requirements Specific Requirements You have a Master's degree in social science, science and technology studies, philosophy of science, or a related
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(e.g. augmented hearing, assistive hearing technology) as well as neuroscientific applications (e.g. models of neural encoding). This project aims to leverage self-supervised learning approaches