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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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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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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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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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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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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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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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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