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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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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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advanced computational analysis of large-scale neural recordings. What you would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses
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Temporary contract | Up to 48 months (14+22+12 months) | BelvauxAre you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis
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30th September 2025 Languages English English English 3-year PhD position in applied and computational mathematics Apply for this job See advertisement About NORCE NORCE is a forward-looking
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 2 days ago
: - Perform experiments using biochemical, molecular biology or genetic techniques (independently and in collaboration with other team members), - Participate in experimental design and data analysis
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Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Hong Kong Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic