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Field
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products. Apply the knowledge to correlate results / system operation. Set-up and monitor the performance of systems Job Requirements: PhD degree in a relevant Science or Engineering field Strong analytical
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subsequent downstream process that leads to productive viral gene integration. The goal of this position is to work on active projects to generate data for publications and to also generate data for external
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. The applicant will also support the CRY screening services, as well as receive clinical training in inherited cardiac conditions, sports cardiology and cardiac imaging. Applicants should be clinically
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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optimization & aggregation, privacy techniques and personalisation) with a focus on healthcare and/or biology and modalities such as computational pathology, genomics, transcriptomics or medical imaging. Strong
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. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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. Desired Qualifications* Experience with fluorescence imaging, electrical stimulation, computational modeling, image processing. Modes of Work Positions that are eligible for hybrid or mobile/remote work
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electrophysiology in ex-vivo mammalian retina. Record of publication in retinal research. Experience with fluorescence imaging, electrical stimulation, computational modeling, image processing. Michigan Medicine