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Qualifications Education PhD in Physics, Physical Engineering, Computer Science, Mathematics, or other related field. Experience and Technical Skills Research experience in quantum information and computation
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
the practice and foundations of mathematical modelling. Requirements include: PhD in a relevant subject (e.g., philosophy, Science and Technology Studies) Interest in philosophy of mathematical modelling
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Core competencies: • PhD in operations research, applied mathematics, industrial engineering, or related fields • Strong
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involving Potsdam Institute for Climate Impact Research (PIK, Germany) and University of Zurich (UZH, Switzerland). Topics of research will include the mathematical modeling and simulation of the development
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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for PDE-based models and numerical methods. Research areas within the group include: • Analysis and numerics of nonlinear PDEs • Development and analysis of solver and coupling methods • Mathematical
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and