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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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to advance their career by contributing to the Chair of POM. The Chair of POM focuses solely on empirical research. Candidates with a mathematical modeling/Operations Research background are discouraged from
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state-of-the-art scientific and engineering software for a wide range of applications, including geoscience, energy systems, and mathematical modeling. This role is ideal for an experienced software
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to other non-technical audiences on occasion. Profile We are looking for candidates (m/w/d) with the following profile: Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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, electrical engineering, biomedical engineering, physics or applied mathematics. You should present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within