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, image processing, inverse problems, partial differential equations, etc. It is not expected that the candidate should be an expert in all these areas, but should have the enthusiasm and ability to absorb
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, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being and
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
. The department also offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts
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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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interventions for depression, suicide and self-harm prevention, and improving well-being; and work focusing on understanding risk and protective processes in children and young people. The researcher will take a
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. Demonstrated experience in user training and support for the operation of molecular biology and sequencing instruments and experimental protocols. Preferred: Five -years minimum postdoctoral experience in ex
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a team of postdoctoral fellows, research technicians, graduate students and other junior members of the lab. The individual would be collaborating with other faculty members as well as lab members
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candidates will support projects on the planning, operation, and control of future power grids accounting for renewables and electrification to achieve clean energy goals using state-of-the-art technologies