156 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" uni jobs at Zintellect
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information on the IHS Division of Sanitation Facilities Construction program can be found at https://www.ihs.gov/dsfc/ . Learning Objectives: Under the guidance of a mentor, you will gain hands-on experience
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transmission, and RF/microwave link performance under varying atmospheric conditions. The participant selected under this posting will learn mathematical research techniques related to tomographical wavefront
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. Along the way, you will engage in activities and research in many areas, including, but not limited to: Learning small and large animal behavioral assessment techniques Developing skills in physiological
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transmission, and RF/microwave link performance under varying atmospheric conditions. The participant selected under this posting will learn mathematical research techniques related to tomographical wavefront
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library into the Bios platform Gain applied experience in software validation, ensuring CDS features are successfully and reliably incorporated into the final tool used by medics Learn from engineering and
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, biochemical, and gene expression data to determine underlying biological mechanisms Learning how artificial intelligence models can interpret biological data Documenting and writing detailed methods and results
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educational activities and research in several areas. These include, but are not limited to: Learning to use instruments that provide precise measurements of high frequency phenomena Developing new
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atmospheric conditions. During the selection process, qualified applicants will have the opportunity to learn more about specific research assignments for Summer 2026. Selections, project assignments, and
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candidates who would like to learn and gain experience in how to plan and perform large animal research and/or burn research in a military medical environment. What will I be doing? As an ORISE participant
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measurements, airborne measurements from field campaigns (e.g., NASA CAMP2EX, ARCSIX) or surface observations. Research involving machine learning techniques will be strongly encouraged. Field of Science: Earth