857 parallel-and-distributed-computing-phd positions at Pennsylvania State University
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into a centralized control room. Supporting electrical utility engineering for new construction, power system analysis, and distribution planning. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or
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the Media Effects Research Lab (MERL). Candidates should have a PhD in Communications or a related field and demonstrate appropriate experience with teaching undergraduate and graduate students. Media Studies
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to investigate iconicity in spoken language – the idea that the sound of a word may convey its meaning – in both neurotypical people and people with aphasia. The successful candidate will have a PhD in a relevant
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resonance spectroscopy applied to investigate post-translational modifications of intrinsically disordered proteins. The position requires a PhD in chemistry with a focus on spectroscopy applied
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Park and touches the lives of thousands of people in all 67 counties of Pennsylvania and across our nation through the facility engineering, education program, facility condition assessment, and energy
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project management. This position requires a PhD in nematology (preferred), forestry, plant pathology, microbiology, microbial ecology, or a related field. Competitive candidates must have significant
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the university and industry partners. Candidates will possess a PhD in information science, computer science, cybersecurity, or a related field before their appointment start date at Penn State. Applicants
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inquiries Provide support for scheduling, personal calendars, and travel arrangements Coordinate meeting logistics including scheduling, material preparation, and agendas Compose, review, and distribute
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize