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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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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build AI methods for 3D particle detection and structural
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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