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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and industrial partners. In particular, you will
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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technologies Research Field Computer science » Computer systems Computer science » Computer hardware Researcher Profile First Stage Researcher (R1) Application Deadline 11 Aug 2026 - 21:59 (UTC) Country Denmark