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, glycopolymers, and glycomaterials) involved in biological processes and health, to bio-based materials. Website: https://cermav.cnrs.fr The successful candidate will have access to all the resources available
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stypendystów Projektu w ramach Działania 2.2. First TEAM (FENG 2021-2027) Fundacji na rzecz Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ) Institution: Wrocław
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and challenging experiments inspire you? This PhD project is part of a research project that will develop and implement a focusing neutron optics prototype. Neutrons are inherently excellent probes
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: Experience with crystallization processes, soft matter physics, or porous media Familiarity with imaging techniques (optical/electron microscopy, X-ray tomography, or spectroscopy) Experience with cultural
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is