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This project is a collaboration between the Multiphase Fluid Dynamics group (Prof. Supponen) at the Institute of Fluid Dynamics, and the Functional and Molecular Imaging group (Prof. Razansky) at the Institute of Biomedical Engineering at ETH Zurich. The research in the newly established...
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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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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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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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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