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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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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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techniques include motor/behavioral tests of mice, in vivo compound administration, postmortem tissue harvesting and processing with a focus on the nervous system, cell tracing, immunohistochemistry, mouse
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here . via Unsplash Life as a PhD candidate
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imaging procedures Qualifications PhD in a relevant field such as Cell Biology, Biomedical Sciences, Biophysics, or related life sciences Demonstrated hands-on experience in biological electron microscopy
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, and typically has about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on
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those leading to dementia and neuroinflammation. We have a strong focus on mechanistic dissection of genetic, molecular cellular and neuropathological processes which underlie across the neurodegeneration