521 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 days ago
(QSAR) models. The selected participant will learn to harvest and interpret toxicology data, develop and apply QSAR models, and communicate research results to both internal and external stakeholders
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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papers that best represent the candidate’s writing capability and scientific contributions. Please submit the names and contact information for up to three references. Contact Information Patrick Slade
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: Conduct field and laboratory activities relating to evolutionary genetics including, but not limited to, sampling, collecting trait data, and extracting nucleic acids from samples. Conduct data analysis
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Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction
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, and research. The 884-bed medical center currently employs 2,700 faculty, cares for ~48,000 inpatients per year and provides approximately 2.3 million clinic visits and 54,000 surgeries per year. Data
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ability to work both independently and collaboratively. Special Instructions Contact Information Melissa Mendez Contact Email mmendez@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered
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. Letters of recommendation will be requested from finalists only. A minimum of two (2) letters of recommendation will be required. Contact Information Daniella Rothstein Contact Email daniellarothstein
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer