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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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pathologies, including relevant techniques (in vivo imaging, sample processing, and analysis), as well as ex vivo models High motivation to learn and further develop relevant methodologies, and flexibility
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• Computer vision and image processing. • International collaboration for joint research and organization of meetings. Se valora experiencia en: • Tecnologías de XR, 360-Video y Volumetric Video
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lead prototype enablement for imec's RISC-V HPC/AI compute systems
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acknowledgment of receipt. Information on the recruitment procedure can be found in the Guide for Applicants LINK PL: https://pwr.edu.pl/uczelnia/europejska-strategia-dla-naukowcow/otm-r LINK EN: https
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for generating high‑quality diagnostic images and enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine
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méthodes de synthèses innovantes (nouveau banc de synthèse par lévitation aérodynamique et chauffage laser), la cristallographie sur poudre, l'imagerie haute résolution par microscopie électronique en
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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of normal and pathological physiology. It consists of a number of scientific and service departments and shared equipment for the research (http://www.fgu.cas.cz/en/ ). The Laboratory of Molecular Physiology