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group focuses on probabilistic machine learning, interpretable AI, and intelligent decision-making systems, integrating rigorous theory with impactful applications. We collaborate closely with national
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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PhD in social sciences (e.g., management, sociology, technology and ethics, organization theory) Experience with qualitative fieldwork, especially in tech industries Knowledge of the academic literature
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for relaxed memory models; guarded cubical type theory; and Rocq formalizations. Tasks and Qualifications Applicants are expected to have a strong background in semantics, type theory, and Rocq formalization
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practice as well as in theory. Your primary responsibilities will include: Investigate, develop and validate new models to simulate wind turbine response in HAWC2 at different fidelity levels. Validation
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-assisted control of large wind turbines. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in practice as well as in theory
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lasers is essential. It will be advantageous with experience on pump-probe spectroscopy and/or supercontinuum generation. Experience with density-functional theory is also of relevance. The applicant must
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. During the project, you will work closely together with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing
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organization and management as a practical, situated, contested and changing matter. Our approach is interdisciplinary and combines social-scientific traditions such as organization theory, sociology