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developing and analysing numerical or computational methods for scientific applications. You are able to work independently on technically challenging research questions and formulate new approaches when
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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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to translate this understanding into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link
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the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link
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Postdoc in physics-based numerical modeling, software development, and engineering analysis of engineered energy and fluid systems, ranging from geothermal power plants to fluid (e.g., water, brine, CO2, H2
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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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knowledge of iterative learning control theory with applications to industrial systems Excellent foundation in linear algebra, numerical methods, optimization, and control theory Background in online
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combine advanced numerical modeling with experimental demonstrations to investigate electromagnetic wave propagation in time-varying THz waveguides. Job description Develop numerical simulation
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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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MIR integrated photonic devices The doctoral student will develop numerical models, design photonic layouts and contribute to micro- and nanofabrication processes in the cleanroom, and perform optical