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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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sensing hardware into a high-throughput sorting line is a plus. Proficient in developing, training, and deploying AI-driven sensor-fusion pipelines, including preprocessing, deep-learning model
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Engineering Laboratory, we develop model-based methods for designing and controlling ultra-precise systems. Building on the Dutch design principles legacy of van den Hoek, Koster, and Soemers, we specialize in
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Your job Are you passionate about the future of sustainable food production and eager to contribute to the fast-developing field of cellular agriculture? We are seeking a mission-driven individual
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. Integrate this neural information into real-time musculoskeletal modeling using our CEINMS-RT framework . Enable neural control of a bilateral cable-driven ankle exoskeleton in post-stroke individuals during
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-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA accelerates
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Apply now The Faculty of Science / the Institute for Biology is looking for a: Postdoctoral researcher on enzyme characterization and enzyme engineering Vacancy number: 15834 Project description We
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Organisation Job description In the Engineering and Technology Institute Groningen (ENTEG), we are looking for a talented and motivated PhD candidate on electrochemical ammonia synthesis in Protonic
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This is a non-renewable post for a limited duration of 4 years. Location ESTEC, Noordwijk, Netherlands or ECSAT, Harwell, United Kingdom Description Industrialisation Engineer in the Future