10 computer-vision Postdoctoral positions at Pennsylvania State University in United States
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, or medical computer science (or related fields), by the time of appointment. Experience in one or more of the following areas is preferred: experiments using mouse embryos, histology, computed tomography, 3D
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/Computer/Mechanical/Materials/Nuclear Engineering or a related discipline. Excellent command on TEM imaging and analysis. Foundation on semiconductor device physics, reliability is very helpful. Excellent
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optimization strategies for diabetes care. This work capitalizes on the science of clinical decision support within health informatics. It incorporates health service, education, qualitative research
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. Qualifications and Requirements: Must have Ph.D. by the start of the appointment in Electrical/Computer/Mechanical/Materials/Nuclear Engineering or a related discipline. Must be a US citizen. Must pass the Sandia
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in this position primarily focuses on fairness in resource allocation, matching markets, mechanism design, and in general computational social choice. We accept applications from all candidates with a
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affective prevention program, and writing manuscripts. The Postdoctoral Scholar will also receive support for travel for conference presentations and for writing mentored grant proposals. Requirements include
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successful candidate should have a strong record of related research experience in computational materials science, computational chemistry, and/or applied machine learning. Extensive programming experience is
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multidisciplinary team environment. Successful applicants will have experience in biomedical engineering, microfluidics, cell signaling and/or vascular biology. Our regenerative medicine program is a collaborative
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and other professional development opportunities. Requirements include a PhD in psychology, neuroscience, education, computer science, or a related field, with a record of publications. Applicants must
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program by the time employment starts. The individual should be highly self-motivated and is expected to lead their own individual projects as well as contribute to collaborative research efforts