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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 ">https://academicjobsonline.org/ajo/jobs/31738 Applicants should
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undergraduate students in medical humanities research projects. Teach one course per year for the Medical Humanities Program through the School of Humanities and Arts. Strengthen CHHAIN's ties with Houston-area
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
. We seek highly motivated scientists with expertise in computational genomics/AI and/or translational cancer biology to join our dynamic, well-funded research program at the frontier of cancer genetics
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respiration, POXC, aggregate stability, ACE protein, potentially mineralizable nitrogen, etc.). Proficiency with statistical analysis and data management using software such as R, SAS, or similar programs
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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program. More information about the CNRC training program can be found here: https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center https://www.bcm.edu/research/research
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability