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of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and experiment. As a PhD candidate you will
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data, and reporting the data at conferences and peer-reviewed publications. You will interact with other researchers and collect data from adult participants. You will develop a computational model of
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(automated machine learning) to make better data science. On the one hand, you will work on learning Bayesian networks supported by AutoML. This will allow for the development of reproducible, data-driven
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develop the framework to support multimodal data processing from event-based camera’s such as dynamic vision sensors (DVS). A key responsibility will be to explore and implement asynchronous learning
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. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in the environmental impact of IT systems. You can extend these data flow diagrams
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related questions regarding the neural basis of visual perception and decision-making. It is part of a larger project on visual information processing in the brain, conducted in collaboration with Dr Sam
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to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to Rekha Raja. In the application form, you will find which
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yet given permission to place the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address
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15 Mar 2025 Job Information Organisation/Company Radboud University Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 14 Apr 2025 - 00:00
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behavioural and neuroimaging studies, including pharmacological manipulations. You will collect and analyse behavioural, physiological and fMRI data. Computational modelling of neural and behavioural data will