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Field
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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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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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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approaches to study mitochondrial DNA repair in Drosophila and mammalian cells. You must be ambitious and able to work independently. Applicants should have, or be near to completion of, a PhD in biochemistry
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research on protein aggregation, and state-of-the-art imaging techniques. We anticipate this postdoctoral fellowship will contribute to impactful research in the field of neurodegeneration. The project
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. research Fellow will be working in the research group for Process Safety, Combustion, and Explosions. The place of employment is at our campus in Porsgrunn. The PhD position is a full-time position, and the
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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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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