36 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral research jobs in Portugal
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interest in developing new approaches at the intersection of fluid dynamics and quantum computing. In particular: You hold a PhD in computational fluid dynamics, applied mathematics, physics, computer
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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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other stochastic simulation methods Numerical solution of coupled differential or rate equations Atomistic or mesoscale modeling of materials Semiconductor nanocrystals, surfaces, or colloidal growth
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Technology (D-HEST) and the Institute for Biomechanics, our group bridges biomedical engineering, materials science and biology. We are seeking an Optical Systems/Photonics Engineer to design and build light
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constraints on the evolution of early Earth Coupling biological and abiotic models or working with Earth-system feedbacks High-performance computing and large-scale numerical simulations Experience working
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Institute at ETH Zurich and is part of the Department of Management, Technology and Economics (D-MTEC). We invite applications for a postdoctoral position in Applied Macroeconomics and Political
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/ Pharmaceutics Materials Science Biomedical Engineering or a closely related field Ideal candidates have to possess several of the following: Excellent academic records from excellent institutions Strong
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chemistry, chemical engineering, materials science, mechanical engineering, nanoscience, physics, or a closely related discipline. Experience in one or more of the following areas would be advantageous
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scientists, social scientists and transdisciplinary researchers and you will support the choice of methods for science and transdisciplinary integration. You will be part of the NCCR CLIM+ programme and
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expression/purification and structural biology methods (X-ray crystallography, cryo-EM or NMR) Evidence of commitment to reproducibility, e.g. through careful record-keeping, code repositories or open