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student, you must have a master's level degree in a relevant field (e.g., physics, mathematics, or computer science). Equivalent requirements apply to individuals with an education earned outside of Sweden
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Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with no generalised agreement about the qualities that determine whether the model is good or not. The focus of...
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and
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Overview Want to make a difference protecting children? We’re seeking a passionate, innovative student to tackle a critical challenge: preventing and reducing infectious intestinal disease (IID) in nurseries. As disease hotspots, current approaches often fail. The Problem: IIDs like...
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The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative materials that combine the structural features and mobility in a single component. These are liquid...
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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Application deadline: All year round Research theme: Control systems and theory, Applied Mathematics How to apply:uom.link/pgr-apply-2425 Number of positions: 1 Open to: UK This 3.5 year project is fully funded for home students; the successful candidate will receive an annual tax free stipend...
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/ statistics / theoretical physics / computer science background to whom the project outline appeals are encouraged to directly reach out to Dr. Yihan Zhang. Full details on how to apply can be found here
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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students