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Field
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labs) Intensive scientific supervision and interdisciplinary collaboration within the project consortium Opportunity to pursue a PhD in cooperation with a German university A structured PhD program with
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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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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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 17 hours ago
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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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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infrastructure, vehicles, and humans. Your responsibilities High-quality research on generative AI methods(LLMs, VLMs, diffusion models) with a strong connection to traffic simulation, autonomous driving, and
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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
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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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Due to a system change, the new application portal will be available from October 20, 2025. mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn
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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