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scenarios to ensure its applicability. Main duties and responsibilities Develop and implement mathematical optimization models for structural engineering problems. Collaborate with other members
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wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case–control study collecting omics data reflecting
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quantitative connections between the continuum parameters and the underlying microscopic mechanics. Numerical study. Implement the models in computational codes to design and optimize morphing strategies. During
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Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Strong skills or interest, and proven experience in: quantitative modelling; machine learning; optimization
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physical-layer innovation to higher-layer network optimization. Address the unique challenges of combining optical and wireless media — including robustness under mobility, atmospheric variations, and
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Research Assistant for a Teaching Development Project at the Department of Mathematics, Aarhus Un...
at the Department of Mathematics. About the department The Department of Mathematics has approximately 90 employees. You can read more about the department at https://math.au.dk . Place of work and employment area
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); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R, or other languages); A commitment to
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, CUIMC leadership, and external partners to support governance and performance optimization. Strategic & Operational Leadership Advise the Department Administrator/CAO and Chair on financial strategy
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3 Dec 2025 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization