192 phd-neural-computation "NTNU Norwegian University of Science and Technology" PhD positions in Netherlands
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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read the full job description and apply at: https://workingat.vu.nl/vacancies/phd-in-reconfigurable-computing-for-heterogeneous-ict-infrastructures-amsterdam-1197676
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are recruiting three PhD students with distinct research foci: PHD 1: The functional role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in
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Netherlands Application Deadline 31 Aug 2025 - 21:59 (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 a
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pharmaceutical companies in expediting and refining the development of next-generation nanomedicines. Information We are seeking an enthusiastic and motivated PhD candidate to join our dynamic team at Nanoworx! As
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Your research will be conducted at the Department of Urology, the Department of Pathology and Clinical Bioinformatics at Erasmus MC in Rotterdam, and in collaboration with the Computational
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; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics
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to your application! As a PhD candidate, you will conduct fundamental research in theoretical particle physics, with close connections to experimental observations. Your project will be supervised by Dr
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Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part