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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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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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engagement or workshop facilitation Interest in multi-method or mixed-method research approaches Note: applicants who already hold a PhD degree will not be considered. Research Environment You will be based in
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Akyürek (Experimental Psychology). The successful candidate should have: a keen interest in the human brain, cognition, and formal methods to investigate these. a master’s degree or equivalent in cognitive
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to conduct high-quality research and develop the skills necessary for an academic or industry research career. This includes: Conducting original research in formal methods and automated planning
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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science
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component of the PhD program. PhD students will begin the program as a cohort and undergo onboarding together. A team of two senior scientists and two doctoral students formally represents the interests
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications