27 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Zintellect
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Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (2 ) Earth and Geosciences (1
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models such as GAMS. Point of Contact Justina Eligibility Requirements Degree: Doctoral Degree received within the last 48 months or currently pursuing. Discipline(s): Computer, Information, and Data
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. Description Help translate science into action! The Office of Dietary Supplements (ODS) at the National Institutes of Health (NIH) is seeking a master’s-level fellow to have a hands-on learning opportunity
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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medical treatment facility. One of the most exciting and unique components of DGMC is the Air Force Clinical Investigation Facility. At the CIF, you will have the opportunity to participate in cutting edge
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, or Arcata, California. Learning Objectives: Improve knowledge of issues and science surrounding forest restoration and hazardous fuels reduction Advance skills for modeling silvicultural treatments in
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agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: As antimicrobial resistance becomes a more significant problem
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(6 ) Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (4 ) Other Non-Science & Engineering (13 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years
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. Along the way, you will engage in activities and research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems
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-on experience to support your academic and professional goals. The participant will have the opportunity to engage in research and learning activities focusing on several important unknowns, including: Can we