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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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. Major project goals will include: inferring the most comprehensive squamate evolutionary tree to date; its integration with fossil data to produce accurate divergence time estimation for all major groups
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: inferring the most comprehensive squamate evolutionary tree to date; its integration with fossil data to produce accurate divergence time estimation for all major groups of squamates; using the previously
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: 277393291 Position: Lecturer Description: Position SummaryThe Department of Ecology and Evolutionary Biology at Princeton University invites applications for lecturer positions that may be available during
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(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
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. Candidates in all areas of experimental quantum science, including quantum information processing, sensing, computing, and networks, who research different experimental platforms, are encouraged to apply
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Position Summary The Department of Ecology and Evolutionary Biology at Princeton University invites applications for lecturer positions that may be available during the 2025-2026 academic year
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: 276296212 Department Ecology & Evolutionary Biology Category Research and Laboratory Job Type Full-Time Overview The Department of Ecology and Evolutionary Biology seeks a Research Specialist I/II to join the
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networks, who research different experimental platforms, are encouraged to apply. Candidates should have a commitment to teaching and a demonstrated ability to pursue a high impact research program. A start
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research