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Teach and supervise at undergraduate, master’s, and PhD levels Collaborate with academic and industrial partners Disseminate results in top-tier conferences and journals Requirements PhD in
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Requirements Master’s degree (≥4 years) in Computer Science, Informatics, Engineering, Mathematics, Physics or equivalent; PhD in Computer Vision, Artificial Intelligence, Machine Learning, and Data Science, or
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secondments at world-class institutions. The proposed research will be on the intersection of the following topics: Energy Harvesting and Intermittent Computing Batteryless Networking Machine Learning
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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conducted in English, the following knowledge will be verified (maximum 65 points): Programming skills (Python, R, or equivalent) (maximum 20 points); Artificial intelligence, machine learning, and/or large
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
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, or machine learning applications in health. The successful applicant will establish and lead an independent research group that complements the institute’s mission to advance personalized approaches
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additional activities or projects within the Centre. Job requirements The ideal candidate must have the following requirements: PhD in Physics or Engineering; A track record of high impact in the quantum