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, working with the Medical Image Analysis and AI research group within the School of Computing Science. The successful candidate will develop novel computational frameworks integrating biophysical tumour
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/Administrative Internal Number: 271019 Position Summary: Rutgers, The State University of New Jersey, is seeking a Student Assistant for the department of Neurology at the Robert Wood Johnson Medical School
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preserved fossils from NW Canada in the Museum's research collection, including the imaging, microscopy, sample preparation and geochemical analysis. Examine existing collections for related material and
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imaging, molecular biology, genetics, biochemistry, functional assessments, and immunolabeling. Designs research protocols. Assists in developing and conducting research projects, including experiment
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. Experience with large scale scientific simulations or simulations of air/terrestrial/sea vehicles. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences
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California State University, Long Beach | Long Beach, California | United States | about 12 hours ago
cinematography Demonstrated knowledge of image-acquisition and narrative filmmaking-specific pedagogical approaches Documented experience as cinematographer on a variety of professional work including, but not
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clinical judgment. Adapts the assessment and treatment processes to accommodate variations in readiness for treatment/change, and implications of age, cultural, medical, economic or other relevant factors
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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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are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in
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. Techniques to be used: Brain imaging (fMRI) Behavioural methods (psychophysics) Python programming References Petro et al., (2014), Contributions of cortical feedback to sensory processing in primary visual