171 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Pennsylvania State University
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the College of Health and Human Development at Penn State University. This is an exciting opportunity to contribute to cutting-edge, community-engaged research aimed at improving dietary quality and food access
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developer to join our team performing DevOps functions. This position would work out of our State College, PA, Reston, VA or San Diego office. ARL is an authorized DoD SkillBridge partner and welcomes all
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and
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mentoring the graduate and undergraduate students working with Dr. Frecker. Assist in developing and writing external grant proposals. Assist in reviewing and providing constructive feedback on lab members
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policymakers. This exciting opportunity would support an embedded policy fellowship placement to train a Postdoctoral Scholar in the implementation and evaluation of research translation models, such as the
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experience with data annotation and labelling, as well as understanding of (coursework) in machine learning algorithms Schedule: up to 20 hours per week Compensation: The starting rate for this job is $15
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postdoctoral Researcher who is willing to embrace new approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps
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REQUIREMENTS: Penn State's Center for Energy Law and Policy is seeking multiple research assistants for Summer 2025 and Academic Year 2025-2026, to support a variety of interdisciplinary research projects and
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of funding. POSITION SPECIFICS The Bordenstein lab in the One Health Microbiome Center and Departments of Biology and Entomology at The Pennsylvania State University is seeking multiple Researchers
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investigate AI/ML algorithms to deliver behavioral interventions at the moments of need and how those can/should be modified to account for personalized preferences. To accomplish this goal, we study behavior