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datasets (e.g., forest inventory, remote sensing, climate data) across Washington, Oregon, and/or California. Conducting advanced spatial and statistical analyses using methods implemented in R or similar
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Nephrology. Please explore our website to learn more about our state-of-the-art clinical, educational and research programs, and distinguished faculty members. (https://medschool.cuanschutz.edu/renal ) Dr
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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responses to the allograft and tolerance induction. We use systems immunology approaches including multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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of the rich and varied training and career development opportunities offered at HSPH. Basic Qualifications · PhD or equivalent in computational biology, computer science, epidemiology, statistics, mathematics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
for high-resolution (e.g. gigapixel) imaging, or high-dimensional statistical approaches for analyzing spatial transcriptomic data. This role involves close collaboration with an interdisciplinary team
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spatial transcriptomics. Candidates must hold (or be on track to receive) a PhD, MD, or MD/PhD degree. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V