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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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, detection, localisation, etc.) Reconfigurable/programmable radio environments and system/network-level antenna design Theory with guarantees (convex/non-convex optimisation, performance analysis, machine
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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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of multicore fibre (MCF) technology.MATCH (Multicore Fiber - Applications and Technologies - Match) is a Marie Sklodowska-Curie doctoral network funded by the European Commission under the Horizon Europe. MATCH
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of Sassari (UNISS) is seeking for a Doctoral candidate (DC) to be enrolled as PhD student in the MSCA Doctoral Network (DN) METAMIC 3 (Metaproteome-based leveraged microbiome management in the context of One
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the programme. The PhD student/researcher will be a fellow of ModConFlex https://modconflex.uni-wuppertal.de/en/ , a Horizon Europe Marie Skłodowska-Curie Doctoral-Training-Network (HORIZON-MSCA-DN-2021
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to modern genomic datasets that may involve hundreds of populations. He/she will also develop probabilistic GO models inspired from the Redundancy Analysis approach and extend it by introducing Neural
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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of the facilities required to develop this PhD project: bacterial culture, rheology, surface charge measurements (zeta potential), thermal analysis, X-ray diffraction (XRD), infrared spectroscopy, mechanical behavior