132 algorithm-development-"Simons-Foundation"-"Simons-Foundation" Fellowship positions at Zintellect in us
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and oligonucleotide therapeutics (ONTs), through the integration of nonclinical safety data evaluation and Model-Informed Drug Development (MIDD) approaches. Under the guidance of a mentor, you will
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(BDCL), within the Nutritional Biomarkers Branch (NBB), Division of Laboratory Sciences (DLS), National Center for Environmental Health (NCEH), develops and applies analytical methods for measuring
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translation, technical assistance, training and partnership development. For more information, visit: https://www.cdc.gov/nccdphp/dcpc/index.htm https://www.cdc.gov/comprehensive-cancer-control/about/index.html
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enhance assignment allocation and improve the efficiency and consistency of pharmaceutical quality assessments. Learning Objectives: You will gain experience in data analysis, algorithm development, and the
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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of Defense (DoD) is offering a post-doctoral fellowship at the U.S. Army Medical Research and Development Command - Institute of Surgical Research (USAMRDC ISR) within the Expeditionary Medical Systems (EMS
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on barley bacterial leaf streak, Fusarium head blight (FHB) and/or oat stem and crown rust disease research. Research activities may include conducting gene mapping and molecular marker development
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Translational Sciences at the FDA is recognized for excellence in the application and communication of statistical science in drug regulation and development. We play a central role in promoting innovative
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partners. You will analyze complex datasets, develop and document analytical methods, and contribute findings to policy-relevant outputs. This will include relational databases such as SQL and PostgreSQL