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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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goals. Organise and facilitate interactive workshops and stakeholder meetings as part of the research process, generating qualitative and quantitative data to test and refine platform content and
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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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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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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4 Oct 2025 Job Information Organisation/Company NORTHUMBRIA UNIVERSITY Research Field Educational sciences Researcher Profile Established Researcher (R3) Country United Kingdom Application Deadline
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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about ). About you You must have a social science background (MSc/PhD) and experience/interest in environmental sustainability research and interdisciplinary working. Good communication and organisation