75 parallel-computing-numerical-methods research jobs at Duke University in United States
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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, interdisciplinary collaboration, and group dynamics. Preference will be given to applicants with expertise in field experiments, survey methods, or quantitative data analysis. The postdoc will contribute to a new
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, United States of America [map ] Subject Areas: Public Health Biological Sciences Biostatistics Climate Science Health Informatics or Bioinformatics (more...) Environmental Analysis Epidemiology Appl Deadline: (posted 2026
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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Directly and indirectly manage all functions of the ACGME Palliative Care and Hospice Medicine fellowship program and designated ICGME programs. In addition to serving as Program Coordinator
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September 1, 2026 Position Summary The SCALES (Scholars for Climate and Advanced Leadership in Environment and Sustainability) Postdoctoral Fellows Program at Duke University seeks early-career scholars
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also
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following: comfort in field settings; experience with experimental design and management; mentorship and coordination skills; familiarity with plant ecophysiology lab methods. Position details: • Start date
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within Imaging Services, including a clinical ladder program with various steps and opportunities across the health system. Required Qualifications at this Level Education: Graduate of an ARRT or NMTCB
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy