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the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC
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of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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in peer-reviewed journals IT skills (e.g.- programming skills) Knowledge in Computational Medicinal Chemistry, Chemoinformatics, and Molecular Modeling Excellent knowledge of English (C1) Team player
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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opportunities to see your research implemented in real-world applications. Your background and expertise You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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been recognized for its contributions to geoinformatics and cartography, including a highly successful master’s program. This interdisciplinary basis in computational, social, and natural sciences
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statistical analysis and ultimately change the role of purpose in biology. Our accompanying experimental programme in platelet biology and hemostasis, while designed to scaffold this computational development