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Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience in MEMS or micro/nanofabrication
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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preferred start date before September 15th, 2026 and available through March 31, 2027. Required Qualifications at this Level: Education/Training: a PhD in environmental chemistry, analytical chemistry
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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international conferences. - PhD in plasma physics or related field. - Demonstrated knowledge of basic plasma physics. - Experience in developing analytical models and software development. - Documented
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out on both natural and anthropogenic sources influencing the atmosphere, hydrosphere, lithosphere and biosphere. This is achieved by combining analytical chemistry, isotopic geochemistry, environmental
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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materials, participation in offshore research cruises and onshore training workshops, and conducting geoarchaeological fieldwork and data interpretation. This role is a unique opportunity to contribute to all
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and