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techniques tailored to repair and remanufacturing, supporting sustainable production methods for the future. Responsibilities and qualifications You will join the Section of Manufacturing Engineering at DTU
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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solving You are highly experienced in a research environment with a well-established publication track record You have formal training in mathematical, statistical, and machine-learning-based analysis
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive
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to monitoring key performance indicators (KPIs) of the reManuFactory project. Engage companies through Co-Labs, Pilots, and Drop-In formats, to be demonstrators of the methods developed in the wider reManuFactory
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contribute to teaching. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 11 days ago
analysis. · Expertise in nonlinear multi-species models, bioeconomic models, or related quantitative methods for natural resource management. · Proficiency in programming languages such as R, Python
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research team. Other qualifications we look for (but are not necessary): Previous work on social cognition, decision-making, moral psychology and related topics. Competence in formal modelling of cognitive
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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies