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dynamically balance throughput, latency, reliability, and energy efficiency according to users' needs and changing network conditions. Meeting these demands requires a new networking paradigm. RF communication
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become automatically involved in more technological advancements of putting virtual reality into practice. In a subset of participants, advanced MRI brain imaging will be done to investigate changes in
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linked to its research areas ranging across Chemical Biology, Biosensing, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200
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stakeholder requirements into façade design interventions. Design, prototype and evaluate biophilic façade concepts integrating vegetation, water retention, circular materials and/or habitat-supporting features
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). For more information: https://www.cordis.europa.eu/project/id/101225380 Doctoral project (Promotors: Prof. Dr. Joachim Jankowski, Dr. Heidi Noels, Prof. Dr. Leon Schurgers, CARIM) Identification of novel
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hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently emerged as a new learning paradigm in AI. These models learn
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), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information: https://www.cordis.europa.eu/project/id/101225380 Doctoral project (Promotors: Prof. Dr. Joachim
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enabled pathway for high value secondary metabolites. By generating and integrating multi-omics, imaging and process datasets, the project will enable AI to (i) accelerate callus line development through
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-scale imaging measurements (particle/bubble tracking velocimetry) of the wind field at the landing deck of a marine vessel. The main goal will be to analyse the full-scale wind field, and particularly
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activities (including but not restricted to offshore wind farms), and the tracking of results of ecosystem restoration. You have experience with modern technologies like (e)DNA metabarcoding, image recognition