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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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Aarhus C, Denmark, are an integral part of the position. Contact information For further information about the position, please contact: Professor Dorthe Bomholdt Ravnsbæk, Department of Chemistry, Aarhus
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uncertainty, learn, and coordinate - and how these processes compare with AI. You are likely studying cognitive science, psychology, behavioral science, human-computer interaction, or another field with a
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science, field ecology and biodiversity monitoring, the project aims to uncover novel links between aquatic and terrestrial ecosystems. The position is located in Risø and is available from 1 February 2027
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addition, a tool capable for determining the Carbon Dioxide Removal (CDR) credits as a function of feedstock, location, pyrolysis process and technology and will be validated by real-world data. You will be
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, data analysis, and dissemination of research findings. The project combines perspectives from systemic innovation, integrated care, and health economics. The PhD student will collaborate closely with
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the Skrydstrup Group at the Department of Chemistry, Aarhus University invites you to apply for a 5-month Post Doctoral position (30 hours/week) starting from November 1st, 2026. Expected start date and
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
At the Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, a position as Assistant Professor in statistics for the development of privacy-enhancing techniques in