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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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-positions-application/list-of-phds APPLICATION Deadline: 15th Apr, 2026 Application open: 5th Jan, 2026 Eligibility criteria and application procedure: https://www.eu4greenfielddata.eu/phd-positions
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI
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resources. In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps
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associated with this position aims to elucidate the mechanisms by which cells coordinate lipid fluxes to adapt to metabolic demands and environmental signals. Lipid metabolism is a highly dynamic process
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) Positions Undergraduate Positions Application Deadline 6 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Other Job Status Part-time Hours Per Week