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and evolving threats facing network security and intelligence organizations. Apply project planning and management methodologies to support program execution. Engage international stakeholders with
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undergraduate student training. Qualifications Ph.D. and minimum one year postdoctoral training in entomology or related discipline. Experience in computational modeling and artificial intelligence is desirable
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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. preferred. Candidates should have proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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translational imaging research program that integrates quantitative MRI, artificial intelligence, and longitudinal clinical data to improve surgical planning, outcome prediction, and disease characterization
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. Biological sciences faculty maintain strong collaborative and programmatic ties with several other departments, including Psychology, Pharmacy, Physics, Chemistry, and Computer Science. The department hosts a
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: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct
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, sentiment analysis and artificial intelligence (particularly LLM) API integration Familiarity with grant writing and funding acquisition is desirable. Benefits Eligibility YES FLSA Status Exempt Apply now
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Qualifications Education: ABD status by start date, PhD preferred by start date in a field relevant to the research being conducted, such as computer science, artificial intelligence, machine learning