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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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, United States of America [map ] Subject Areas: Epidemiology Biological Sciences Biostatistics Health Informatics or Bioinformatics Environmental Analysis (more...) Climate Science Public Health Appl Deadline: (posted 2026
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Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ KEY RESPONSIBILITIES: RESEARCH COLLABORATION: The SCALES Postdoctoral Fellow
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computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the Polarization Lab for scientific
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SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities Research Collaboration: Co-develop and
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, United States of America [map ] Subject Area: Chemistry / Polymer Appl Deadline: 2026/01/30 11:59PM ** Position Description: Apply Position Description Postdoc position in polymer informatics. A postdoctoral position is
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://link.springer.com/article/10.1557/s43577-022-00281-x More may be found on our website at https://materials.duke.edu . Minimum Qualifications The candidate should have a Ph.D. in Materials Science, Physics, Chemistry
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and