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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial domains such as the Colorado Plateau and even global. Presenting
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observatories including the Vera Rubin Observatory, the MMT, and the Large Binocular Telescopes. We’re currently working to enable future capabilities by producing 8.4 m diameter primary mirror segments
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mirrors are used in leading observatories including the Vera Rubin Observatory, the MMT, and the Large Binocular Telescopes. We’re currently working to enable future capabilities by producing 8.4 m
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on advancing Precision Menopausal Hormone Therapy (P-MHT) for women worldwide. Integrate and analyze large-scale human datasets, including electronic health records, claims data, and omics profiles, to identify
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, big data analytics, materials modeling, and microstructure characterization. The candidate will also work and collaborate with faculty in the MSE Department with minor teaching duties in the classroom
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of CRM functionality and best practices. Skill in public speaking and presenting information to large groups. Skill in receiving feedback to adjust guidance and training strategies for the future. Minimum
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. upon hire. Preferred Qualifications PhD in a physical science or engineering field. Experience in high-contrast imaging data reduction. Experience in exoplanet and/or debris disk science. Experience
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large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience