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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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, processor/system simulators (Gem5, NVSim), SystemC, HLS tools, abstractions and intermediate representations, Programming models, MLIR, LLVM, experience in code optimization, programming expertise in C, C
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applications. The successful candidate will contribute to establishing and advancing the joint ALD laboratory, including the development of ALD rectors and process optimization for nitride based semiconducting
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at the Medical Faculty You develop and optimize innovative LC-MS and GC-MS methods for the analysis of diverse biological matrices, including human samples You act as a scientific contact person for our users
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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the corresponding production processes and environments to be automatically initialized, processing areas to be generated and the optimal processing tools and their alignment to be assigned to them. For this purpose