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vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural
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discipline Experience in microbiology or molecular biology Interest in combining computational and experimental approaches Strong motivation, scientific curiosity, and drive Ability to work independently and
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engineering, physics, biology or a related field and a demonstrable interest in MRI or medical imaging. A vivid interest in high-resolution imaging or the human cerebellum would be a plus. Proficiency in spoken
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-Driven Life Science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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prototype designed at IEM Montpellier. The work will be conducted in collaboration with a postdoctoral researcher affiliated with the Paris Institute of Molecular Chemistry (IPCM, Sorbonne University), under
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between biology and artificial intelligence. Strong collaborative skills, analytical ability, and the capacity to work independently. Merits: Education or training in computer vision, machine learning, deep
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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu ) offers two undergraduate and three graduate
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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Research Assistant Professor faculty position in the 7 Tesla Bioengineering Research Program (7TBRP). Applicants should have more than four years of postdoctoral experience or equivalent experience carrying