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working with mitochondrial biology, transcriptional regulation and epigenetics. Experience with large-scale genomics data data analyses such as RNA-seq, single cell RNA-seq and documentation of those data
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governance, and environmental philanthropy Lead in-depth case studies of community-led conservation in Indonesia, including data collection and analysis as well as extensive fieldwork Coordinate and contribute
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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. Execute Data Science Workflows: Utilize Montana State University’s Tempest Supercomputer to process large imaging datasets and generate distribution heat maps. Collaborate Across Institutions: Coordinate
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to analyze large health databases, including electronic health records (EHR), and National Center for Health Statistics (BRFSS, NHANES, SEER). Required License/Registration/Certification N/A Physical
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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international team of experimentalists and theoreticians in the Advanced Global Atmospheric Gases Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE
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in Miami, FL. The Postdoctoral Scholar will be responsible for developing and leading research projects, conducting data analysis, and implementing programs in Artificial Intelligence in Medical
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-particle cryo-EM (sample prep, data processing, model building) is a plus • Expertise in protein expression/purification, especially large multi-subunit complexes • Background in cilia biology, membrane
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, interdisciplinary environment with access to large-scale computing resources and diverse scientific use cases. The position strongly supports publishing in top-tier venues, contributing to open-source research