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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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. You will be predominantly based in theatre, assisting our diverse referral caseload, from Soft Tissue Surgery, Neurology, Orthopaedics, Diagnostic Imaging, Oncology, Internal Medicine, Cardiology, and
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be found at https://datascience.cancer.gov/collaborations/nci-department-energy-collaborations ; https://www.cincinnatichildrens.org/research/divisions/d/decoding-mental-health/programs/mental-health
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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electrophysiologivcal or two-photon imaging techniques. D2. Knowledge of visual processing and design of visual experiments. Experience Essential: E1. Proven ability to deliver quality outputs (such as publications) in a
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of residence: All Eligibility of fellows: nationality/ies: All Selection process In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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Open Rank Tenure or Clinical Track or Lecturer in Veterinary Diagnostic Imaging - College of Veterin
DEPARTMENT OF VETERINARY CLINICAL MEDICINE Open Rank Tenure or Clinical Track in Veterinary Diagnostic Imaging 51%-100% appointment (12-month basis) The University of Illinois Veterinary Teaching