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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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, dry/wet etching, metal deposition). Background in low-temperature transport measurements or optical characterization of materials and devices. Appointment Details: Start Date: Flexible. Initial
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-insulator transitions, etc. The second area includes activities relating to "nanoscience" in the broadest sense. These are approached from the perspective of fundamental properties, when the dimensions
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knowledge flows between researchers, companies, and regulators, and develop practical tools and strategies to accelerate the shift toward animal-free methods. Your work will combine advanced quantitative and
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reflects the organic pollution load in water. Current COD determination methods are often discontinuous or spectroscopic and impractical for real-time application, limiting their utility in dynamic, data
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self-motivated and possess excellent English skills, also, be open to discuss new ideas in an interdisciplinary team and be flexible to apply various experimental methods. TUD strives to employ more
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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, particularly in the context of large-scale critical infrastructures for communication and computing. They will develop and validate AI methods that are safe by respecting system boundaries and are prompt in
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG biosynthetic machinery. Applying novel GAG analytical technologies to investigate how changes