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solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart
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ARIADNE – an interdisciplinary research project developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to
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are the following: Obtain and maintain regulatory approval. Set up screening algorithms to identify eligible participants. Recruit participants, collect/ process samples. Design data collection tools (e.g., redcap
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enthusiastically contribute to the Regio Deal consortium. A strong interest in topics such as socio-physical challenges societal transitions,collective action, public-sector collaboration, and community-driven
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scholar will also be one of the mentors to incoming graduate and undergraduate students in the group. The primary responsibility will be writing manuscripts, collecting and analyzing data, helping with
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Do you have passion for FAIR and open data, and a drive to improve the data landscape? Do you enjoy solving both technical and societal challenges? The Intelligent Data Engineering lab (INDElab) is
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, collected from 75 households in each city. In addition, you will map and assess existing inclusive local climate adaptation practices in both cities and contribute to the development and refinement of policy
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Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
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on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development
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, integrates, and evaluates innovative solutions in autonomous systems, including artificial intelligence (AI), machine learning, robotics, control systems, sensing technologies, and related disciplines