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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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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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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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[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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for the purpose of contracting, in case of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt
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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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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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assistants must be experienced in all phases of collision repair and auto restoration practices such as patch panels, welding, rust repair, metal forming, plastic fillers, paint prep and application. Must be
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals