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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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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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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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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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computing, and could provide a physical route to Ising and Boltzmann machines that operate on dynamical rather than static states. Job description Build and operate a programmable network of coupled
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-relevant questions. We work with macroeconomic, microeconomic, firm-level, household, geospatial and international datasets and apply modern econometric methods, including panel-data, time-series and
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conference travel, computing and career development. Zurich consistently ranks among the world’s most liveable cities. Working, teaching and research at ETH Zurich We value diversity and sustainability In line
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dimensionality can be used to control and create functionality in complex inorganic solids. We are currently establishing a laboratory for thin-film synthesis using physical vapor deposition methods, structural