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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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of urban stakeholders, including planners, designers, and architectural firms. The position offers a dynamic and interdisciplinary research environment rooted in contemporary architectural research
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. The PhD project combines advanced multiscale simulation with experimental methods to improve resistance spot welding. You will join a dynamic research environment where we value diverse perspectives and
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of the group is investigation of the micronutrient intake and status in healthy adults and bioavailability of micronutrients from foods. The group has a dynamic staff with high international visibility, many
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undergraduate and graduate courses in statistics. We encourage ambitious, talented applicants to apply and join our dynamic research community. For further details on the application process and eligibility
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skills, Experience in programming in Python or another language, e.g., in C++, Matlab, R, Familiarity with basic concepts of dynamical systems, Knowledge of wind turbine dynamics is a plus, Curiosity to
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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impacts of invasive insects on native biodiversity, human health, and food supply. The PhD candidate will mainly work on modelling species distributions and population dynamics of invasive insects such as
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predict changes in structural loading and urban microclimates. You will join a dynamic research environment that values diverse perspectives and interdisciplinary collaboration. The PhD project focuses
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SemperCycle and a post doc associated to the project. You will be based at DTU Chemical Engineering, at the CHEC research center in a dynamic international research environment. Responsibilities and