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the fermentation bioprocess. Validate engineered strains through molecular, biochemical, and omics analyses. Mentor students and contribute to high-impact publications. Deliver experiment results or report to our
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, make necessary calculations, presents results at national conferences, and publish the results on high impact journals. Develops own research project(s) under the guidance of the PI. Instructs and trains
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 16 days ago
Full-time Hours Per Week 40 Offer Starting Date 10 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2025/0275 Is the Job related to
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 12 hours ago
the ecosystem of key and relevant sectors within ARPA-E’s mission. Identifying, designing, and quantifying metrics to support program development and performers success. Planned Projects: Analysis of bottlenecks
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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an exceptional candidate for a full-time Research Assistant Professor (RAP) in Advanced Manufacturing, High-Temperature Composites, and Intelligent Materials. Housed in the Department of Aerospace and Mechanical
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, you’ll join a technically driven, publication active team known for research in computational modelling, CFD, numerical methods and high-performance computing, with a strong culture of code quality, open
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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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ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance