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Field
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recruiting highly motivated postdoctoral researchers. Our lab is performing high profile research in studying the molecular mechanisms that control programmed cell death and its impacts on inflammation
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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for an additional six months based on performance and availability of funds. This position is made possible via funding from the ACS Sustainable Futures Initiative Grant Program. Application Instructions
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qualifications at the time of hire. Preferred Qualifications: ● Experience analyzing data using high-performance computing ● Experience with statistics and data analysis ● Experience in
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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the lab of Jane Jackman. Post Doctoral Scholars are expected to lead analyses critical to the high-throughput identification and characterization of RNA modification enzymes research program and to take
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information at BNL | Benefits Program The Interdisciplinary Science (IS) Department, in collaboration with others, is performing research in the areas of renewable integration and grid modernization. The goal
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale