56 optimization-nonlinear-functions Postdoctoral positions at Pennsylvania State University
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the Penn State College of Health and Human Development, Department of Kinesiology. This post-doctoral position will primarily work on a project funded by the USDA, that will focus on the attenuation of bone
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in the Energy Sciences and Power Systems Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State’s purpose is to research and develop innovative solutions
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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at Penn State is seeking to hire a Postdoctoral Scholar. This individual will work with Dr. Reka Albert on performing computational
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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability
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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Bill Bahnfleth and Assoc. Prof. Greg Pavlak are seeking a self-motivated, highly skilled Postdoctoral Scholar to work on funded research in the area of
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Dr. Dana Calacci on how workers and organizers can leverage digital tools to better measure work, organize, and have more voice in how technology, including AI, is used in the workplace
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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability