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Field
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will have a PhD or equivalent doctoral degree in a related field, completed by the start date of the posting. Relevant research background includes a knowledge of the academic literature and theory in
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organisation Internal Evaluation Procedures: The research school will organise a yearly formal meeting with a thesis advisory committee (TAC), where each PhD student will give an oral report on the progress
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with
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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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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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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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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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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
, and grassroots creativity that may be undervalued in formal cultural economies The project will innovate methodologically (leveraging methods from human-centred design and digital sociology) to generate
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols