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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a passionate PhD candidate in practical
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Royal Netherlands Academy of Arts and Sciences (KNAW); yesterday published | Netherlands | about 2 months ago
What you will be doing In adult mammals, including humans, fibrosis is the predominant response to many forms of tissue injury, unlike many lower vertebrates and invertebrates, where complete tissue repair is the norm. Although scar formation can provide rapid protection by sealing wounds,...
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://www.academictransfer.com/en/jobs/355278/phd-student-hubrecht-institute-… Requirements Specific Requirements Requirements We are looking for a highly motivated and independent researcher with an MSc degree, a strong
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, are you fluent in Bengali? Then this PhD position as part of the interdisciplinary FLASH project might be for you. The problems of livelihoods in peri-urban areas are complex and multifaceted, shaped by
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quality of life for patients while reducing the burden on healthcare professionals - provided that the monitoring devices deliver reliable data and autonomous interpretation. Your PhD topic at Erasmus MC
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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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ageing and can potentially be mitigated in animals. The candidate will be required to: Design, plan and conduct a programme of investigation, in consultation with the supervisors. Produce a PhD thesis
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, personalized digital solutions that support behavior change. PhD Candidate Predicting Adherence to Digital Health-Promoting Interventions Our goal: To make digital health interventions more effective by
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. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of “The changing nature of teamwork: unstable, part-time, ill-defined
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD