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Field
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autonomous electric vehicles under disruptions. This collaborative project aims to develop a resilient, multimodal transport management strategy that leverages automation and communication to optimize
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hierarchies You have a very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the
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Your Job: Take on specific tasks at JAIF such as trustworthy AI, training AI models, developing customized AI methods and workflows, or HPC optimization Implement and evaluate cutting-edge AI
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 3 days ago
-accessibility and bioavailability for folate. The project will, first, involve a survey of folate contents of a variety of fermented foods and algae by stable isotope dilution assays (SIDAs) and optimize
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didactical skills and teaching experience are required in the fields engineering mechanics, vibrations, as well as analysis and optimization of dynamic systems. Moreover, the future holder of the position is
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jurisdictional reward funds that is described here . This agenda aims to work out optimized proposals for new international mechanisms that could increase global welfare by mitigating harmful tax competition and
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Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). Tasks: synthesis of highly porous functionalized carbon materials: Design, optimization and execution of synthesis procedures for carbon
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to manufacture complex MEMS devices. The second part will be to systematically analyze and optimize the performance of the magnetic micro-actuator by investigating the influence of: geometry, alloy composition
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. This includes research on the optimal lithography process. Here, piecewise interference lithography will be investigated, the so called SMILE-process (Stepped Mask Interference Lithography Exposure). Objectives
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AI-based material modeling, focusing in particular on one or more of the following fields: AI-assisted modeling, optimization, and problem inversion in the area of material properties and processes