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Field
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-prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
the daily work of the target laboratory. Your Qualification: PhD in experimental physics, chemistry or material science Several years of experience of independent work in a physical or chemistry laboratory
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employment (subject to release of funds) The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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to reduce transmission and ease the global disease burden. Our research is at the leading edge of translational vaccinology, aiming to define the key immune mechanisms that confer protection against HCV and
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in Canada, USA, Sweden and the Netherlands. At the University of Hamburg the PostDoc will work in a team consisting of senior scientists, PostDocs, as well as a PhD student and technician hired through
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Studium Generale The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning