76 Computer-Science "https:" "https:" "https:" positions at Pennsylvania State University
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The Pennsylvania State University is seeking a Full Professor in the Neurobiology of Insect Chemical Ecology in the Department of Entomology. This position is supported by the Huck Institutes of the Life Sciences
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Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
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of Nutritional Sciences The National Research Council ranked Penn State’s Graduate Program in Nutritional Sciences among the nation’s best. More information is available at: (http://nutrition.hhd.psu.edu
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analysis and optimizations, and compiler-based software security. An applicant should possess an advanced degree in Computer Science or Computer Engineering and have strong background in computer security
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: Civil Engineering Architectural Engineering Structural Engineering Mechanical Engineering Computer Science Construction Engineering or a related field Valid driver's license and reliable transportation
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walks, and programs organized and delivered as part of the avian education program suite. Embrace a growth mindset by demonstrating critical thinking, taking on leadership roles, and seeking opportunities
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Translational Science Institute http://ctsi.psu.edu/ , the Huck Institutes of Life Sciences https://www.huck.psu.edu/ , the Institute for Computational and Data Science https://www.icds.psu.edu /, the Penn State
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the vacancy is filled . For additional information about Penn State Altoona and the English program, please visit our web pages at http://altoona.psu.edu and https://altoona.psu.edu/academics/bachelors-degrees
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REQUIREMENTS The Pennsylvania State University Department of Kinesiology (KINES) seeks candidates for part-time adjunct instructor positions within the Applied Exercise and Health, and Movement Science Options
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- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design