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experts in research information, to collectively devise new sociotechnical strategies propitious to increasing the visibility of PEAs in the digital scholarly record. You will work closely with the other
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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. Marieke de Goede. The project is funded by the European Research Council (ERC) through an Advanced Grant. For more information, see https://cordis.europa.eu/project/id/101199713. Join Us! We are looking
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propitious to increasing the visibility of PEAs in the digital scholarly record. You will work closely with the other three members of the INCVIS team: Andrew S. Hoffman (Project Lead, Service Scientist
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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strong, coordinated collaboration across Europe to advance sustainable agricultural practices and respond effectively to increasing climate threats particularly through a focus on digital transformation
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studies what motivates circular choices and, together with businesses, creates new services, digital tools, and policies that make repairing and reusing accessible and desirable. By connecting behavioral
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry