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Field
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Epidemiology, Biostatistics, etc.) Strong research track record, programming, and implementation skills
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science or closely related field in hand by October 1, 2025
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
USNH Employees should apply within Workday through the Jobs Hub app This postdoctoral position is a key component of Assistant Professor Aylin Aykanat’s independent research program in
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Master's Degree or Doctoral Degree. Minimum Overall GPA: 3.00 Discipline(s): Business (6 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data
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Requisition Id 15305 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Qualifications • Ph.D. in Civil/Electrical/Mechanical Engineering, Computer Science, Data Science, or a related field • Demonstrated expertise and publication record in computer vision, machine learning, 3D scene