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to neural time-series and imaging data using MATLAB tools and python. Design, develop, and implement computer algorithms and software for analyzing multimodal neural data, including EEG and optical imaging
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on five continents. The Czech Science Foundation funded PhD project will image the lithospheric structure of the Central Asian Orogenic Belt (CAOB) in the frame of the international project entitled
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systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups. For more information
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10 Jan 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Chemistry Researcher Profile Recognised Researcher
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applications. Lead and co-author publications in top-tier journals and conferences spanning computing, health informatics, and human-centered devices. Present research findings at academic, clinical, and
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underlying brain systems in individuals with ASD and individuals with FXTAS. These clinical research projects are conducted through the Clinical Child Psychology Program (https://clchild.ku.edu/ ) and the
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
https://jobs.inria.fr/public/classic/en/offres/2026-09710 Requirements Skills/Qualifications Profile. We are looking for a candidate with: - M.Sc in Computer Science, Statistics, or related fields
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at the Division of Chemical Biology, Department of Life Sciences, and help advance
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc). * Strong foundational knowledge in machine learning and data science methodologies. * Proficiency in programming, with