343 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets
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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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the production, value, and safety of pecan, peach, nectarine, and plum crops. The participant will learn how to develop methods to improve control of key pecan diseases. The primary disease focus is pecan scab
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adoption by professional organizations such as the AOAC or Cereals & Grains (formerly AACC) would benefit The fellow will learn how to generate an instrumental method for soluble dietary fiber analysis
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identified in this way will represent targets for future gene editing to improve the rate of genetic improvement for reduced grain protein content. Learning Objectives: The candidate will learn about genetic
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, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
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biopsies and blood to dissect mechanisms of inflammatory bowel disease, CAR-T enteritis, and ICI colitis. Integrate single-cell/spatial multi-omics with experimental validation in human/mouse intestinal
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using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about: Conducting phenotype trials related to maize
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across the dairy supply chain. The participant will also learn about statistical analysis of data in consultation with ARS colleagues. Learning Objectives: Under the guidance of a mentor, the participant
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach