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thermophoresis, and animal models of Alzheimer's disease to study the mitochondria-mediated cell death mechanisms in Alzheimer’s disease pathogenesis. The candidate will be involved in large-scale protein
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that comply with FDA standards is preferred. Familiarity with digital twins, large-scale data handling, and predictive modeling will be advantageous. The individual should demonstrate excellence in scholarly
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information here ! PURPOSE We are seeking a highly qualified researcher with a strong interest in applied statistics, machine learning, and artificial intelligence, with a particular focus on time-series
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to process and analyze large remote sensing datasets Excellent written and verbal communication skills Preferred Qualifications: Experience with historical satellite imagery, particularly declassified data
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. Preferred Qualifications: Experience using online technology in mathematics courses. Experience coordinating courses with multiple sections. Experience teaching and managing large lecture courses. Experience
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required. Good laboratory practices are critical. Ability to undertake and complete large research projects and communicate findings to the field as demonstrated by first author publications in respected
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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related to Earth Science, Polar Science, Glaciology or Civil Engineering Preferred Qualifications experience in data compilation and analysis experience with large dataset (observations or models
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other process modeling tools. https://agilebiofoundry.org/ https://bioesep.org/ The successful candidate will be able to: • assimilate a wide variety of information into assessments • contribute
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation