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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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Scintillators for Advanced Detectors applications in the Imaging and Particle Identification fields” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Materials
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Bioinformatics and/or Computational Biology. b) OTHER REQUIREMENTS - Work experience related to bioinformatics. - Training related to the tasks to be performed (complementary academic qualifications, specialised
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Certification preferred. Experience: Two years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not
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Requirements Bachelor degree and 1 year post-graduate experience is required in the area of computer vision, image processing is required. Create a Job Match for Similar Jobs Logo About The Ohio State University
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Scheduled Hours 40 Position Summary Performs Positron Emission (PET) scans, manages the research PET facility, and supervises imaging aspects of PET research projects for the Radiological Sciences
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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Assistant (PET specialist) to work in an outstanding scientific environment, at the crossroads between cellular and molecular biology, radiochemistry, imaging physics, biophysical modelling and neuroscience
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. ? Proficiency using PACS-like imaging archives, laboratory data systems, and computer-interfaced instruments, including automation/robotics and high-technology applications relevant to imaging workflows. ? Strong