147 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" PhD positions in United States
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional
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; to perform innovative and groundbreaking research in its related sub-disciplines; to promote and inspire discovery and learning that enhances patient care; and to contribute to the translation of scientific
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going to our job site (https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobsearch.ftl ), searching job code 25005706 in the keyword search, and submitting your materials through our Pitt
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and work experience in relevant fields such as science communication, neurolaw, neuroethics, neuroscience, political science, community engagement, bioethics, law, and so forth. Candidates should have a
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, Professor Position Number 600237 Vacancy Open to All Candidates Department EHH BSOM Physiology Department Homepage https://physiology.ecu.edu/ Advertising Department PHYSIOLOGY Division ECU Health/BSOM
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits
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to undergraduate learning through research experiential courses (ENTM 39300 Insect Biology Practicum and ENTM 49300 Insect Biology Capstone), and training and mentorship of graduate students, postdoctoral and
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models to characterize agricultural and ecological systems; Experience in applying advanced Artificial Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in