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PhD in Transportation, Environmental Psychology, Behavioural Economics, Computational Social Science, Industrial Ecology, Geography, Urban Studies, or a related field. Demonstrated expertise in choice
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Deadline 31 Jul 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
the Biophysical Metrology and Inference program at NIST, which develops interpretable measurement approaches, physical models, and data-analysis methods to connect biological signals to quantitative mechanism and
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stack engineering in this system. Acid-base flow batteries are based on dissociating water into acid and base during charging, using bipolar membranes, and recombining acid and base in this membrane
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Sano - Centre for Computational Personalized Medicine. Tasks: The person employed as a Chief Research Specialist POST-DOC will be involved in project work in nanotechnology, materials chemistry and the
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30 Jun 2026 Job Information Organisation/Company Adam Mickiewicz University, Poznań Research Field Chemistry Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
Description The U.S. Department of Energy (DOE) Science, Technology, and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs
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techniques. The PD research will be carried out under the supervision of Prof. Željko Tomović in the Polymer Performance Materials group in the Department of Chemical Engineering and Chemistry at the TU/e
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation