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, B. Kuyken, N. Le Thomas, G. Morthier, G. Roelkens, K. Van Gasse. The main research directions are silicon(-nitride) nanophotonics, heterogeneous integration, optical communication, quantum optics
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) nanophotonics, heterogeneous integration, optical communication, quantum optics, photonic (bio)sensors and photonic integrated circuits for biomedical applications in the near-infrared and mid-infrared wavelength
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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aim of EOSC-ARENA is to develop a sovereign, generative and agentic AI environment for scientific researchers, integrated with the European Open Science Cloud. You investigate the impact of AI
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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amplifier and digitizer architectures, performing state-of-the-art front-end simulations, and producing optimized readout PCBs for testing in the 2 μm optics setup at UGent. The integrated readout system must
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Quantum
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analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by