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tested together with the project partners. This particular project aims to develop more reliable methods to establish the micronutrient status. The University Hospital Würzburg and the German Institute
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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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advantage Highly motivated and able to work independently and in an analytical manner Reliable and conscientious working style with a high level of self-organization and time management skills Fluent command
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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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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property linkages based on numerical simulations and to transform them into AI
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important to us – we support you specifically and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates https://www.fz-juelich.de/en/judocs Health