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on predicting adherence to various elements of digital interventions to promote health behavior. These use cases are based on already collected datasets. For example: Data from a 2-year smartphone-app and Fitbit
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of health promoting interventions, and ultimately their effectiveness and success. The PhD research involves a variety of use cases focussed on predicting adherence to various elements of digital
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research
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innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research
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critical materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium
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peer-reviewed scientific journals that will be part of the PhD thesis. The position includes a 10% teaching component, which may involve tutoring master's courses and supervising bachelor’s or master’s
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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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of the PhD thesis. The position includes a 10% teaching component, which may involve tutoring master's courses and supervising bachelor’s or master’s theses. Requirements For this project, we
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component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and