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workshops. Applicants must have completed all requirements for a Ph.D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics, applied math, engineering, computer
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Python Statistics Data analysis Communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which you can build expertise
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SPECIFICS Duties Place The primary work location will be the University Park Campus of Penn State University, PA. Approximately 10% of the work will require travel for research collaboration (e.g. potentially
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in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. Education and
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. These positions are primarily for work on scattering amplitudes in gauge and gravity theories—understanding their mathematical form, developing tools for their computation and representation, and applying new
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policy, including learning key theories in the area of study · Curiosity and a generalist attitude with interest in diverse social policy issues · Ability to work on multiple simultaneous
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work with Professor Peter Hintz on problems in the areas of geometric partial differential equations and general relativity. These include: linear and nonlinear stability problems and scattering theory
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PhD degree in Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational
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. degree; Experience with laboratory techniques including transcription regulation, imaging, tissue-on-chip, vascular biology, oxidative biology, or hypoxia research Some experience with human research
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also