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, are essential. Due to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not
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, and capable of independent as well as collaborative work Note: The PhD project will focus on computational and experimental analyses of cancer cell lines; animal experiments will be performed by
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to excellent scientific and technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized experimental facilities. Networking & Exchange: You will
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position – Ad Print4Life DC14 Reference code: 50156137_2
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Germany Application Deadline 9 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 17 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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Degree Doctoral degree (Dr rer nat) Course location Konstanz Teaching language English Languages All our courses are held in English. Programme duration 6 semesters Beginning Winter and summer
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty