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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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under uncertainty (e.g., planning, reinforcement learning, probabilistic reasoning); Multimodal information fusion and state estimation; Foundational or representation learning models for robot
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stakeholders, including purchasing decision makers Support mapping of the pathway to market, including customer segmentation and potential market size estimation Contribute to analysis of reimbursement pathways
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applicants to hold a Master’s degree in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, digital health, design, anthropology, sociology, or related
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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Life Expectancy aims to analyse how multiple social determinants of health intersect in shaping lifespan. This project aims to solve the methodological challenges in estimating and forecasting lifespan
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starting date 1 September 2026. Who we are In Computer Science, Aalborg University has more than 170 scientific staff, including the 2 most cited Danish computer scientists, 20 administrative staff, and
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most cited Danish computer scientists, 20 administrative staff, and 1,100 students, You can read more on www.cs.aau.dk , and you can read more about the TECH faculty here . The research in the Data
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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of the project. Disseminating research results in peer-reviewed journals and conferences. Position-specific competencies We are looking for a motivated and curious candidate with a background in computer