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to changing conditions over the coming decades (e.g., when and where to expand rail, road, or cycling infrastructure, or add new transport services). Job description This doctorate aims to advance
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track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state
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inflammation, tracks environmental exposures and medication adherence, and applies AI/ML models to detect risk, predict exacerbations, and trigger timely, clinician-guided interventions. The project will deliver
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projects. A strong track record of scientific publications. Excellent teamwork, organizational and planning skills, a solution-oriented mindset, and creativity with the ability to innovate. Have social and
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errors Confident working with analytics dashboards, tracking tools, and reporting key metrics (Google Analytics, basic SEO, UTM tagging) Comfortable with custom code integrations or working alongside
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-level academic research in the broad field of animal genomics. The team has an excellent track record of publishing in the field’s leading and key multidisciplinary journals. For a list of recent
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with a solid research background and a track record of scientific publication, preferably with experience in collaborative projects and working at large-scale research facilities. Familiarity with grant
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of 6 months is required Bonus points Applicants with the following qualifications or experience will receive bonus points: Exhaustive track record in setting up software, operating systems, version
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oriented toward real-world outcomes. Fluency in English Willingness to work in Zürich. Workplace Workplace We offer Compensation & Growth Salary based on experience and fit. A clear career evolution track
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would explore novel solutions, which may include but are not limited to e-textiles for movement tracking, for ultrasound imaging, e-textile-based photoplethysmography (PPG) sensing or e-textile for multi