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enable seamless human–machine interaction by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. The successful candidate will work on the design and
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against
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Experience with complex X-ray diffraction techniques, preferably including either 3DXRD or DFXM. development of algorithms and software for analysis of such data You can work independently and interact well
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on gas-metal interactions and phase transformations as well as materials microstructure characterization. Your activities are related to externally financed research projects with academic and industrial