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main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising
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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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research on plasma deposition of functional materials on textiles. Conduct research on plasma-based deposition of functional topcoats for engineered textiles. Develop and optimize plasma deposition processes
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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural
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to your scientific expertise to work within the German Research Foundation (DFG) funded project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical