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real-time data to describe future process behavior and make it usable for optimized process operation. The focus is on the modeling, numerical implementation, and control-oriented use of this digital
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and decoding
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compatible with suggested geophysical conditions and geochemical processes inside Enceladus. The PhD researcher will theoretically and numerically model physical processes in the icy vents of Enceladus
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of Machine Learning. You will connect to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Particle Physics etc. You will be
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | about 2 months ago
Qualifications and Skills Experiences in numerical modeling, advanced data analysis, and physical oceanography; Experience working with Earth System Models or ocean circulation models. Further Information Contact
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-host interactions. Experience with innovative experimental model systems and technologies, including physiologically relevant cell culture and organoid models, is welcomed. The professorship is intended
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess