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the PhD thesis in either language, English or German. Full-time / part-time full-time Mode of study Hybrid Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional
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, duration and mode of study The PhD research can be started throughout the whole year and is meant to be completed within four years. All doctoral candidates are expected to be present in Bayreuth during
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rerum naturalium, abbreviated to Dr rer nat) or the academic title PhD. The Department of Mathematics and Computer Science confers the academic degree of Dr rer nat. Alternatively, women can be awarded
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or October 2026. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Berlin Mathematical School (BMS) is the
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026
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for the three-year period of their PhD (both, for living and – where applicable – for the project under investigation), by applying for a stipend, e.g. at DAAD, Humboldt-Foundation, Stiftung des deutschen Volkes
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 13 hours ago
Degree Doctor of Philosophy (PhD) in Environmental Sciences Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and
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Description The Institute of Biochemistry of the Medical Faculty at Kiel University (CAU) is seeking to appoint a PhD student (m/f/d) to join the research group of Dr. Matthias Voss as soon as
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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring