104 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Pennsylvania State University
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, or engineering by the start date of employment. Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming skills are essential
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scheduled to receive, a Ph.D. in an area broadly relevant to our research program by the time employment starts. The individual should be highly self-motivated and is expected to lead their own individual
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highly collaborative team and translational research programs focused on mucosal biology, aging, infectious diseases, and cancer-associated tissue remodeling. Our laboratories integrate molecular, cellular
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intentions and career plan. This document must be composed of three sections: 3.1) Background: Expertise and skills gained. 3.2) Research Interests: Research intentions and goals for the postdoctoral role and
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career plan. Upload as Name_SURNAME_SOP.pdf . This document must be composed of three sections: 3.1) Background: Expertise and skills. 3.2) Research Interests: Research intentions and goals
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
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experimental and/or data skills are welcome to apply. Experience in computer programming (e.g., Matlab, Python) and neuroinformatics tools is a plus but not required. Previous work with rats and basic surgical
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physics, dark matter and neutrino mass measurement. There are also active programs in theoretical gravitational physics, gravitational wave physics and cosmology. Postdoctoral scholars will be members
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly