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computing environments, and GPU programming. Necessary skills include knowledge of data processing using software (e.g., Matlab, R, IDL) and/or statistical/mathematical programming languages (e.g., R, Matlab
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clusters, cloud computing, or GPU acceleration. Strong mathematical background in linear algebra, probability, and statistics. Prior research experience with publications or preprints. The University
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researcher to join NSF project FOCUS, investigating oceanic variability in Florida Straits and its influence on coastal sea level and flooding. The postdoc will work with a multi-year dataset of temperature
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research team members, including a second postdoc based at Stanford University who will lead the project’s research in Mexico. This is full-time position available with an initial appointment of one-year
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to lead the development and implementation of Mass Spectrometry applications for translational and clinical research. The postdoc will partner with principal investigators and an outstanding clinical
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adhesion proteins in the origin of animal multicellularity. The postdoc will contribute to the development and application of biochemical and cellular assays to characterize the functions of adhesion