60 web-programmer-developer "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Duke University
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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development of competitive research proposals. • Provide mentorship to graduate and undergraduate students in the lab. Required Qualifications • A Ph.D. in environmental economics, urban economics, public
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, neurobiological, and clinical data to develop and validate predictive models of psychiatric risk. Prepare manuscripts for peer-reviewed journals and present findings at national and international conferences
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chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization pipelines; and should be prepared to integrate internal experimental