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disorders. The successful candidate will apply cutting-edge techniques in spatial and single-cell transcriptomics to study the effects of gene knockouts across multiple scales, contributing to a comprehensive
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exposure across spatiotemporal scales. Analyze the effects of environmental exposure and social determinants on health and wellness across the human lifespan using spatial/non-spatial statistics. Utilize
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at The Pennsylvania State University is seeking to fill one postdoctoral position under the direction of Dr. Jun Zhu. The postdoc
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, techno-economic analysis, and/or life-cycle assessment. The postdoc will be working on a large team and will be expected to communicate across teams to integrate project-specific data into modeling
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includes: A Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear algebra
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, and will be making use of Penn State high-performance computing resources. He will be encouraged to interact with other students, postdocs, and faculty within the Department of Physics and related units
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of machine learning models Preferred skills/knowledge includes: A Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data
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. The postdoc is expected to publish research findings in international peer-reviewed journals, present research findings in conferences/meetings, and generate regular project update reports. The postdoc will be
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compositions of methyl groups in the Lloyd Lab in the Geosciences Department at Penn State. The postdoc will contribute to a funded, collaborative project from NASA Exobiology on the isotopic fingerprints
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of Anthropology and Department of Civil and Environmental Engineering. This project will assess the validity of spatial models used by the Commonwealth of Pennsylvania for prediction of pre-Contact archaeological