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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
questions about the recruitment process, please contact Arts HR support by email: [email protected] . Qualification requirements Applicants should hold a PhD or equivalent academic qualifications. Formalities Faculty
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-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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, Statistics, or Theoretical Physics at the time of employment. Publication Track Record: At least two first-author research papers at flagship venues of core machine learning research (e.g., NeurIPS, ICML, ICLR
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to formulate research questions and translate empirical findings into model assumptions and parameters as well as compare alternative mechanisms and theoretical explanations for observed behavioural change
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these materials into coherent, theoretically informed analyses. You are comfortable working with survey data and preferably have experience contributing to the design and implementation of questionnaires, handling
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the graduate and/or undergraduate level. Profile Essential experience and skills: You have a PhD in in Statistics, Biostatistics, or a similar discipline. You have strong skills in theoretical methods
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references). The description should outline the research questions, theoretical considerations, methodological approach, relevant literature, and a proposed timeline. The project should address cybercrime