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                Employer- MOHAMMED VI POLYTECHNIC UNIVERSITY
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                Field
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                Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour. We 
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                interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software 
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                steady and transient state, at scales ranging from nanometres to millimetres. Develop numerical methods to capture droplets evaporative behavior accurately Compare and validate numerical results with 
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                advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms 
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                completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages 
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                Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 22 days agoGalerkin methods, which are particularly well-suited for parallel computing, and it typically requires solving large-scale linear systems during simulations. The main objectives of this position are to: (1 
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                Computational Fluid Dynamics. Operational skills : Physical analysis of fluid dynamics, advanced skills in programming and numerical methods, writing scientific reports and articles, presenting at scientific 
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                quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and 
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                of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network 
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                Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 days agoNeural Operators. Your tasks # Design, train and tune surrogate models for electromagnetic field solvers using neural operators # Use symmetries of the modeled plasma physics and numerical methods