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equipment health, availability, and resilience under flexible operating conditions. Combine AI-based insights with LEAN and Six Sigma methodologies to support structured root cause analysis and continuous
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communication skills in English (written and spoken); German language skills are advantageous but not required - Prior experience in medical AI or clinical data analysis is a plus What We Offer - A structured PhD
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD project will develop a methodological framework for reliability-based structural
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highly motivated and reliable, be able to work to strict deadlines Preference will be given to candidates with experience in textile dyeing and processing, textile and colour analysis
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: • screen novel dyes through initial dyeing experiments on different natural and manufactured fabrics • evaluate promising structures providing permanent colouration • analyse colour fastness and colour
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importance for understanding risk, improving safeguarding decisions, and ensuring children’s needs are recognised. A key challenge is how to reliably elicit and interpret children’s accounts in ways
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with multitarget estimation for direction-of-arrival (DOA) detection and tracking in radar theory [12]. Graphs are a powerful data structure to represent relational data and are widely used to describe