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the individual human being and society. We take an active part in implementing the 2030 vision of the Faculty of Medicine: to become leading within digital health and well-known for doctors and engineers finding
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. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
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well as international partners. Field experiments, digital technologies - including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a research
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verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous
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Electronics for biosensing (including analog/digital circuit design and signal processing) Implantable or wearable devices Optical and electrochemical biosensing techniques Experience working in
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heterogeneity underlying type 2 diabetes to develop strategies that better classify, prevent, and treat the disease. The group integrates wearable data, digital health tools, molecular profiling, and artificial
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well as international partners. Field experiments, digital technologies - including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a research
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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, hybrid testing and digital twins . In addition, the project interfaces with a probabilistic modeling framework (also developed in a parallel CEBE work package) to quantify material variability and ensure