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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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interventions using AI? Join us to turn real-world sensor and app data into smarter, personalized digital solutions that support behavior change. PhD Candidate Predicting Adherence to Digital Health-Promoting
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consortium partners, with a total of six PhD positions and one postdoc (Figure 1). While your primary base will be in Bangladesh, you will spend three 5-month periods (15 months in total) at the Institute
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Welcome to Maastricht University! Do you want to understand and predict how people engage with digital health interventions using AI? Join us to turn real-world sensor and app data into smarter
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and work experience; a short letter of motivation; a link to your PhD thesis; the name and email address of a reference who can provide a letter of recommendation, e.g. the PhD or postdoc supervisor
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with several PhD students, postdocs and staff members. You will be working on a combination of topics in a collaborative environment, including cell biology, muscle physiology and exercise physiology
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and email address of a reference who can provide a letter of recommendation, e.g. the PhD or postdoc supervisor. Due to Dutch legislation, the UvA is for non-scientific positions obliged to recruit
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain
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livelihoods. FLASH comprises seven work packages (WPs), coordinated by different consortium partners, with a total of six PhD positions and one postdoc (Figure 1). While your primary base will be in Bangladesh
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European CLARIFY project and continues this research with a postdoc, PhD student and lab technician. You will closely collaborate with clinicians to define clinically relevant questions, digitize pathology