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properties are attributed to light capture for photosynthesis and radiative heat dissipation for temperature management, whereas the role of structural leaf surface properties, such as the presence of bumps
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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, advancing bioinformatics-driven research, facilitated by exceptional computational infrastructure including a centrally administered high-performance CPU and GPU cluster and network storage. This includes
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student learning and/or functioning using validated tools and measures. Facilitate interactive, engaging learning experiences and/or school support Manage classroom or program logistics, such as scheduling
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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outlined below. Perform research and collect data in the specified area to a high level of competency and quality Maintain a high level of knowledge of the immediate and surrounding literature Contribute
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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should have a solid conceptual understanding of genomics, gene regulation, developmental biology, and computational biology approaches. Experience in generating high-quality figures for publication is also
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main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising
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The High Meadows Environmental Institute (HMEI) at Princeton University is accepting applications for the 2026-2027 HMEI Environmental Fellows Program. This postdoctoral program seeks scholars from