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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
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to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer Interaction
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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(with an average programme mark of no less than 65%) or international equivalent . Candidates should have a strong background in marketing, public management, sociology, or public health. Experience in
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computational protein design to develop new biocatalytic methods for asymmetric synthesis. This collaborative project will leverage the pyridoxal phosphate (PLP)-dependent enzyme UstD, previously developed
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. The programme is characterized by methodological and theoretical diversity. The training component consists of 30 ECTS credits and will support the work you do in the research component (the thesis
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written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline For PhD and MD/PhD in Translational Biomedicine, see
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available in the further tabs (e.g. “Application requirements”). Programme Description The travel grants are intended to assist young US citizens or permanent US residents who write their doctoral theses and