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competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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Researcher (R1) Positions PhD Positions Application Deadline 15 Feb 2026 - 23:59 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU
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North Carolina Agricultural and Technical State University | Greensboro, North Carolina | United States | about 14 hours ago
and research in mathematics, statistics, or data science; demonstrate a strong commitment to integrating learning, discovery, and engagement; and possess extensive higher education experience, including
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continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in
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LevelPhD or equivalent Skills/Qualifications We are seeking highly motivated candidates with one of the following profiles: Applied Mathematics, Signal Processing, or Computer Vision: A PhD in these fields
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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interdisciplinary and experiential learning to join the Source Project , Binghamton University's distinctive first-year research program in the Humanities and Social Sciences. The position begins August, 2026. PhD in
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless
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, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database