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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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engineering are eligible (physics, computing, signal processing,…) Strong skills in scientific programming: knowledge of Python and C/C++ Strong oral and written communication skills in English Be open to
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18 Jan 2026 Job Information Organisation/Company Poznan University of Technology Department Faculty of Computing and Telecommunications Research Field Computer science » Systems design Computer science
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molecular biology, including primary cell culture and ideally some experience with 3D systems. Familiarity with spatial or transcriptomic approaches and image analysis would be an advantage. We are looking
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(polarization, cytokine analysis, etc.). ➢ Experience in confocal microscopy techniques and image analysis (ImageJ, Imaris software). Selection process Applications to this offer must compulsory be registered
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Scintillators for Advanced Detectors applications in the Imaging and Particle Identification fields” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Materials
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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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Bioinformatics and/or Computational Biology. b) OTHER REQUIREMENTS - Work experience related to bioinformatics. - Training related to the tasks to be performed (complementary academic qualifications, specialised
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time