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of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
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framework tackling the technical, social and ethical challenges to integrate digital technology for continuous, objective health behavior monitoring and to stimulate healthy lifestyle. Unlike existing studies
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. The architecture of the platform will follow the existing design, based on the following technologies: o Backend: Node.js microservices exposing REST APIs o Frontend: different frontends (HMIs) including
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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict
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, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3 will engage in research projects spanning Business Model
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algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials
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quantum dots. In particular, based on our recent result in small arrays, we aim at exploiting coherent control of spin qubit in larger arrays to perform quantum simulation or algorithm. Therefore
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different approaches, the most prevalent is polygraph testing which infers deception through the measurement and analysis of physiological responses (e.g., blood pressure, electrodermal activity). However
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across Scotland’s west coast. It will evaluate the practicality of different image capture techniques and the potential of different sensor types (e.g., RGB, multispectral) to generate beach litter images
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do