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. This system allows us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2: Teach anaerobes to survive a breath of air. You will
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thesis is not pre-defined and should be defined by the candidate over the course of the first year. The domain of the PhD thesis must be machine learning and either control theory, path planning, or multi
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engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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industrial engineering of similar Knowledge of thermal process engineering, reaction engineering, thermodynamics, process engineering, ideally in combination with plant modelling or control Experience with
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Job related to staff position within a Research Infrastructure? No Offer Description Our group is looking for a detail-oriented PhD student with a background in either biology, microbiology and
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position – Immobilisation of radium (226Ra) and strontium (90Sr) by carbonate minerals We invite early-career researchers
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
your career. We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. Your tasks Design and engineer a next-generation microscope
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highly motivated PhD candidate to join our team at MIRMI. This position offers a unique opportunity to conduct cutting-edge research in safe, transparent, and reliable remote robotic control under network