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design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers
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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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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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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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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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of the UT institutes Mesa+ Institute for Nanotechnology, TechMed Center and Digital Society Institute. As an employer, the Faculty of BMS offers work that matters. We equip you to create new possibilities
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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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scientific basis for the implementation and evolution of Digital Twin Earth, an advanced high-resolution replica of our planet, its processes and its interactions with human activities and ecosystems. You are
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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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of Physical AI — and they cut across domains that look different on the surface but share the same scientific core: a robot rehearsing a manipulation task in a digital twin, and a biomedical model simulating