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English Languages Courses are held in English (100%). Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 9 semesters or more Beginning Only for
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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traditional (hydrothermal quartz, barites etc.) paleo-atmospheric proxies via noble gas and noble gas-nitrogen static mass spectrometry. The main goal of the project is to identify new geological areas as
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our past / current projects include Global.health ( https://global.health ): an improved, scalable platform for disease tracking created by an international team of researchers from leading institutions
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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, blood clots, highly-efficient batteries, multiphase flow in colloidal and geological systems, and the burgeoning field of metal 3D printing. Job Description: As this far-field neutron interferometer will
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mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological
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interdisciplinary by nature combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in
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[map ] Subject Areas: Mathematics, AI-based drug design and discovery, Bioinformatics/Protein Engineering/Single-cell Omics Data, Mathematical AI/Machine Learning/Deep Learning, and Computational
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instructions. Other Requirements Workplace and Eligibility Conditions Conditions do involve exposure to all weather elements. Must be able to work off of ladders, scaffolding, and tops/roofs of buildings