27 parallel-computing-numerical-methods-"https:" PhD positions at ETH Zurich in India
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in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning Strong interest in the development of theoretical or computational methods for optimization methods
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, Physics or a related field strong programming skills, e.g. in Python, Julia or C++, and experience in writing clean, well-tested code experience in numerical methods, optimisation, statistical inference
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Übersicht Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term Drucken The Engineering Design and Computing Laboratory has a fully
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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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knowledge in parallel or high-performance computing is desirable, and applicants should be comfortable working on shared HPC clusters. Experience with software engineering practices, including version control
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controllable broadband states. Our research combines semiconductor device fabrication, precision optical experiments, and theoretical and numerical modelling to understand and control these systems
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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developing data-based mathematical models in developmental biology. The position suits someone with training in biology, mathematical modelling and scientific computing. You should have: a Master's
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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
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that understand both what the user intends to do and what is happening in the environment. The PhD will focus on the computational and sensing methods required to make such systems robust, generalizable