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audiences. This includes formal meetings, academic conferences, workshops, and training sessions. Contribute to innovations in theory and research methods. Respond to media inquiries related to PERIL research
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Qualifications PhD awarded related to security, formal methods, program analysis or software engineering for Associate levels or nearing completion for Assistant level MSc degree with distinction in
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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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can support the structuring and modelling of knowledge in practical contexts. Participate in the development of IMF by bringing in methods from formal ontology and philosophical logic, yet tailored to
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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
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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
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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
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or as part of citizen science projects Experience in supervising students (BEd, MEd, PhD) Excellent knowledge of qualitative and/or quantitative methods of empirical social science/educational psychology
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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innovative application and development of partial differential equation (PDE) techniques, seamlessly integrated with statistical methods. This robust combination drives substantial advancements in optimization