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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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components from major off-the shelf providers like Thorlabs/Newport Experience with multi-photon microscopy or other non-linear optical techniques Experience in image processing and analysis with ImageJ/Fiji
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the applicant to take an active role in applying advanced imaging methods for processing and evaluating PET, MRI imaging data, performing statistical analyses, and preparing scientific manuscripts under
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role in applying advanced imaging methods for processing and evaluating PET, MRI imaging data, performing statistical analyses, and preparing scientific manuscripts under supervision. The group provides
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the mouse model. We believe that interrogation of these understudied circuits will critically advance our understanding of how the brain and body achieve important physiological processes and will contribute
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ionizing and non-ionizing radiation, and its use mainly in medical applications. The major areas are magnetic resonance imaging (MRI), radiation therapy, X-ray physics, and nuclear medicine. The MR physics
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Institute to develop and train machine learning algorithms for text categorization (Natural Language Processing) and image interpretation. Your primary task will be to create algorithms capable
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chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology and meet medical challenges. Our
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applications based on an exciting new paradigm in quantum optics: giant atoms. Giant atoms couple to light at multiple points, which gives rise to interference effects. The succesful candidates will, in
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critical processes such as protein synthesis, photosynthesis as well as aspects of plant physiology, including growth, development, and stress resilience. Optimization of organic nitrogen supply and relevant