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. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's dissertation project
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
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increased healthcare end-user and accessibility demands. Imaging is a crucially important aspect in many scientific fields, with it being of particular importance in life-sciences and biomedical imaging
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increased healthcare end-user and accessibility demands. Imaging is a crucially important aspect in many scientific fields, with it being of particular importance in life-sciences and biomedical imaging
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science and medicine Experience in applying AI to large-scale healthcare datasets, contributing to grant proposals, or deploying AI tools in real-world applications would be highly valuable. The successful
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collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We
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learning, etc.) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering-related discipline. Strong programming ability in
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate