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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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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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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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processing modules, notably with the PyNX software (http://ftp.esrf.fr/pub/scisoft/PyNX/ ); Support ESRF beamlines exploiting coherent X-ray imaging techniques; Conduct an original research project exploiting
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 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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physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology and advanced live imaging techniques,, and/or computational analysis of spatial omics data — experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours 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
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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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of courses in image processing, computer vision, XR technologies and biomedical imaging applications, experience as supervisor of engineering and master’s theses, confirmed by at least 20 successfully defended
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in