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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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economic impact of optimized cooling solutions and refrigerated supply chain solutions. Your tasks The priorities of the tasks will be flexibly decided depending on the concrete opportunities at hand after
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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on microfluidic and physical principles, fabricate & optimize using state-of-the-art microfabrication techniques and characterize chip performance (fluidics, mechanics, and reproducibility). Method development
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-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
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functionalized lignin as a precursor for carbonaceous structures – Produce optimized ink formulations for laser-induced graphitization processes using functionalized lignin oligomers – Characterize the materials
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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with