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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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, perform imaging on Krios and/or Glacios microscopes, perform data processing and refinement for structure determination. Required skills include expert protein expression and purification skills and
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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prototype device into a minimum-viable-product that can be utilized in hospitals and clinics. The postdoc will assist the laboratory in equipping the current prototype device with new features and
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discrimination but with international mobility requirement, with interest in fluorescence, microscopy, photochemistry, photophysics, data treatment and image analyses. Goals of the PhD project include
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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Professor position from candidates with a PhD, or equivalent degree, with a record of outstanding training in glioblastoma research, expertise in DNA damage response, oncolytic virus research, memory T cell
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/2) and dramatically larger physical apertures than today’s 5G MIMO systems. We call this new paradigm UltraMIMO (U-MIMO). This thesis will develop superdirective hybrid analog–digital UMIMO arrays