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Field
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we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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- 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 11 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Application Deadline 4 Sep 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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bioinformatics pipelines, creating data visualizations, and translating complex datasets into biologically meaningful findings. The researcher will collaborate within a multidisciplinary team while staying
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size and complexity, there is an increasing need for computationally efficient predictive tools capable of resolving the underlying physical and chemical processes across multiple scales. The project
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
us to design novel therapeutic compounds and molecular probes (rationally or through computational approaches). As a model system, we study psychedelics. These compounds exhibit a complex
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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: This position is part of an extramurally well-funded research program and offers excellent opportunities to contribute to high-impact publications and to develop an independent research trajectory, including
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering