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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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for a PhD candidate in artificial intelligence (AI) and medical imaging at the Department of Circulation and Medical Imaging (ISB), Faculty of Medicine and Health Sciences, NTNU. The position is
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing
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imaging systems and signal processing and the Department of Electronics and Informatics (ETRO ), an imec research group at the Vrije Universiteit Brussel (VUB ), has an open research position for a
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, heritage science, or a closely related scientific discipline. • Good understanding of relevant analytical methods and instrumentation (e.g., spectroscopy, microscopy, and/or imaging techniques
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications