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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Pharmacology - 424001 Posting Open Date 03/13/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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Job Description Apply now Req Id: 40410 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary The Department of Physics and Astronomy at Purdue University is
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results. Methodology The post-doc researcher will be responsible for a set of TCAD simulations with the Synopsys SENTAURUS tool on a simple (reference) FD-SOI MOSFET structure to obtain: 1
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Research Infrastructure? No Offer Description Post-doc position available in the Institute of Physical Chemistry PAS within National Science Center (NSC) We seek a highly motivated and enthusiastic
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning, or biophysical simulations. Demonstrated interest in
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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Vacancies Postdoctoral Research Positions in Photonics & Microwave Photonics Key takeaways The Nonlinear Nanophotonics (NLNP) group is looking for several excellent post-docs to assist in
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://academicpositions.com/ad/universite-catholique-de-louvain/2026/post-doc… Requirements Research FieldCommunication sciencesYears of Research Experience4 - 10 Research FieldComputer scienceYears of Research Experience4
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equations (SDEs) are widely used to model time-evolving phenomena in finance, biology, and social dynamics, the underlying data is often highly sensitive. This project tackles the intersection of complex