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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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optimisation of coatings formulation both through deterministic mathematical models and through use of AI. Qualifications You must have a two-year master's degree (120 ECTS points) or a similar degree with an
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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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Job Description Are you excited about developing advanced models and algorithms to better understand and predict human decision-making? Are you interested in integrating behavioural models with
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or possibly chemistry/physics and must have documented knowledge/experience in mathematical modeling of chemical processes/reactors. The candidate must be self-paced and highly ambitious with very good
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mechanics, advanced material models and extreme deformations. Responsibilities and qualifications The project involves extensive development and implementation of numerical algorithms for skin mechanics and
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livestock in Denmark as part of the Danmap program (www.danmap.org ). In addition to scientific publication, the obtained quantitative epidemiological models should be integrated into a mathematical tool that