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that can be used at speeds that are orders of magnitude faster than current CMOS technology. In order to demonstrate the computational power of so-called synchronised stochasticity for approximate Bayesian
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or equivalent degree in computer science, mathematics or a closely related field, or expect to obtain such a degree soon. You are able to work both independently and as part of a team. You are proficient in
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computer science, mathematics or a closely related field, or expect to obtain such a degree soon. You are able to work both independently and as part of a team. You are proficient in English. (Dutch is not required
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Master’s degree in Computer Science, Mathematics, Physics, Statistics, Artificial Intelligence, Machine learning or another relevant field. You have a strong background in machine learning and deep learning
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(UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
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will also co-supervise ambitious Master’s students with their research projects. Profile You have a Master’s degree in Computer Science, Mathematics, Physics, Statistics, Artificial Intelligence, Machine
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(UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
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representations during naturalistic conditions. As a PhD candidate, you will use a computational approach to model and predict neural responses within the human visual system as well as behavioural performance, and
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Employment 1.0 FTE Gross monthly salary € 2,770 - € 3,539 Required background Research University Degree Organizational unit Faculty of Science Application deadline 02 June 2024 Apply now Are you
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17 May 2024 Job Information Organisation/Company Radboud University Research Field Language sciences Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 29 May