35 parallel-computing-numerical-methods "Multiple" PhD research jobs at Nature Careers
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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DTU Tenure Track Researcher in Computational Heterogeneous Catalysis – DTU Physics A scientific staff position is open in the Catalysis Theory Center at the Department of Physics (DTU Physics) and
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
chemistry and process engineering. We are looking for talented people to join us. In this project, neural operators are combined with classical numerical methods to enable the efficient approximation and
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expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described above Develop theories, methods and computational tools Participate in
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· Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities represented in our workforce
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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to present work at research seminars and thematic events, building strong skills at the interface of classical geotechnical engineering and modern computational/data-driven methods. For further questions