1,005 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" Fellowship research jobs in United States
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression
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, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 7 days ago
will generate critical safety and efficacy data to inform regulatory evaluation of these emerging therapeutic modalities. Learning Objectives: If selected, you will have the opportunity to: Develop
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attenuated centrin deleted Leishmania major parasites (LmCen-/-) using transcriptomic and metabolomic approaches. Learning Objectives: The opportunity to contribute on this project will allow you to acquire
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strong clinical, diagnostic, and decision-making skills in acute care settings. Key Program highlights & responsibilities: Learning will be completed through clinical immersion, didactic lectures
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of the opportunity involve various outdoor conditions requiring moderate exertion and traversing the landscape of the MEF. Additionally, the fellow will experientially learn about and participate in the Forest Service
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in