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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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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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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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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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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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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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exciting position with a high degree of personal responsibility and individual decision making Structured doctoral program through the Berlin School of Integrated Oncology Extensive offers for inhouse
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using