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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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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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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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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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Übersicht Doctoral Student in Machine Learning and Medical Data Science 100%, Zurich, fixed-term Drucken Are you passionate about machine learning and AI and excited to develop methods that can
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state transfer, distributed quantum computing and quantum error correction, blind quantum computing, and non-local sensing. To ensure this project's success and fast progress, we are looking for
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undergraduates from a range of academic backgrounds, including students with no prior computing experience, is highly desirable. About STIA Drawing on Georgetown's expertise across international affairs