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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
for beta-cell research. For those interested, there is also an option to learn and use in vivo diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced
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this collaborative project, we will develop a comprehensive strategy combining (1) vasculature-on-chip models, (2) in-depth nanobubble characterization, and (3) tailored imaging solutions to advance cancer diagnostics
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participation in such a project. - Be fluent in French and English. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5213-DELDAL-033/Default.aspx Work Location(s) Number of offers
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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations
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, uncertainty propagation Where to apply Website https://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Skills: Modeling Reactor
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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functions as a core, cross-cutting research theme, enabling the development of novel analytical tools, models, and decision-support systems. The group’s research agenda covers both new construction and
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
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complex models to represent the causal interactions between wet, dry, hot, and cold extremes, infected mosquitos, mosquito-borne viral diseases cases, environment (e.g. land use type) and socioeconomic
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for boosting green and digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running between February 2025 and January 2030 and funded by European Research Executive Agency