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Your Job: The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will
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a four-year PhD position. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD). Depending on your qualifications and the precise nature
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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infrastructure, and emerging mobility solutions (e.g., electric vehicles, e-scooters, drones). We offer Self-determined work related to interdisciplinary research projects A diverse and inclusive working
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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on testing a set of promising pre-identified catalysts in the existing experimental set-up. Based on your findings, you will optimize the catalytic systems and/or adapt the experimental plant to achieve
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for doctoral programmes: any time Application deadline Scholarship projects are usually advertised at the end of each year, with a deadline on 31 December. Students can always apply with self-funded PhD projects
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Degree PhD, Dr forest, or Dr rer nat (doctoral studies with a focus on natural sciences) Course location Göttingen Teaching language German English Languages Courses are usually held in English. The
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Degree PhD Course location Bonn In cooperation with University of Hamburg Technical University of Munich Helmholtz Center Munich Teaching language English Languages The teaching language is English
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Degree German, Italian and French Doctoral Degree (PhD) Course location Bonn In cooperation with University of Florence (Italy) / Sorbonne University (France) Teaching language German Italian