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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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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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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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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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international team combines materials chemistry, optical spectroscopy, electron microscopy, theoretical modeling, and numerical simulation to understand and control materials at the nanoscale. Project background
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modulation Software development for optical modeling and numerical analysis (Python, MATLAB, or equivalent) Strong academic output relative to career stage, evidenced by high-quality publications or
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View more categories View less categories Discipline Applied Science , Biomedicine , Chemistry , Clinical , Computing , Earth Science , Engineering , Environmental Science , Health Science , Life