110 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Zintellect
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improving plant health using machine learning and artificial intelligence. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you have questions about the nature of the research
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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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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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on the blockchain. A hands-on familiarity with machine learning and blockchain or related research is required as are Python or other coding skills. Quantum computing – This research is exploratory, applying hands
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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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. The intent of this internship is to provide a learning opportunity for students interested in science, engineering or medical career fields associated with infectious disease research, and to expose students
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medical biological defense research. USAMRIID’s mission is to provide leading edge medical capabilities to deter and defend against current and emerging biological agents that threaten both the military and
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. For more information about the DEVCOM-CBC, please visit https://www.cbc.devcom.army.mil . About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300144 Description About the Research Current approaches optimize machine learning training largely by exploiting Deep Neural