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methods (chromatography, spectroscopy, elemental analysis) to characterize feedstocks, intermediates, and recycled products. Exploring the influence of textile composition (cotton, polyester, blends
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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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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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, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a compelling opportunity. Current practices, such as combusting methane to sustain
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essential for transitioning to a carbon-neutral and energy-efficient society. Methane, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a
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analysis. You are fluent in English (both written and spoken). Dutch proficiency is desirable (or willingness to learn) as you will interact with patients. You have experience with programming and data
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for the execution of the dietary intervention trials Ability to apply machine
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in environmental analysis, reducing exposure and aiding site assessments. The Sensor Engineering group at Maastricht University's Faculty of Science and Engineering focuses on innovative sensor
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comprehensive analysis of international stakeholders in HIV cure efforts, their interests, and their relations. Conducting qualitative research with stakeholders via onsite and online interviews and focus group