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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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for the benefit of society. To fulfill the position, you must possess solid knowledge of data science. Preferably you will have experience in the application of data science within private companies
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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methods (e.g. workshops, digital sprints), and ethnographic fieldwork. You will be breaking new ground within STS and Valuation Studies in a larger research team led by Principal Investigator, Professor
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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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state-of-the-art experimental platforms and contribute to the development of novel diagnostic biosensors and cancer-focused nanomaterial platforms with strong potential for clinical impact
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materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production
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translate cutting-edge concepts into experimentally validated devices. By joining us, you will operate at the absolute forefront of heterogeneous photonic integration, develop high-performance nonlinear and
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dynamics to fish as well as the coastal zone as a fishing ground and production area for low-trophic aquaculture, i.e. farming of shellfish, seaweed etc. The research topics include some general themes
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-integrated monitoring and diagnostics from electrical signatures, physics-informed and probabilistic learning methods for robust adaptation across varying mission profiles, and experimental validation on state