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Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS experiment at the LHC. The project will be conducted in close
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in Austria. We are seeking a PhD candidate on predicting adherence to digital health-promoting interventions with Artificial Intelligence (AI) and machine learning (ML) techniques. You will develop AI
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, you will study communication in digital interactions on social media and help develop a new framework on how social media influence both experienced and actual polarization. You will focus on different
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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role in the Netherlands. However, given its environmental impact, the sector must be decarbonised in line with Dutch climate targets. Achieving this requires the development of innovative, transformative
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conditions reflect this. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of
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skills and personal interests. This is what you will do This PhD project is expected to go back and forth between methodological and theoretical developments; and applied works toward the clinical
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role in the Netherlands. However, given its environmental impact, the sector must be decarbonised in line with Dutch climate targets. Achieving this requires the development of innovative, transformative
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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new research. Such research should not only attend to the actual content of the game but also to its development/production, and to how streamers, as influential figures in gaming culture, shape