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Field
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational
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to young and talented scientists with the ambition to grow. For more information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing
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this knowledge. In previous roles you have worked with the application of data science and artificial intelligence in the context of biomedical signals. You enjoy the process of conceiving and writing papers (in
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence, especially over long
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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of the soil biota in ecosystem processes at a range of scales; from life in a single soil ped to the role of soil biota in climate change at a global scale. We have state-of-the-art laboratories which
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networking opportunities across the consortium. Throughout this PhD you will be embedded in the ICT Lab of Signal Processing Systems group of the Department of Electrical Engineering at TU/e. Within the ICT
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Kampman at [email protected] . Screening is part of the selection process. Website for additional job details https://www.academictransfer.com/362529/ Work Location(s) Number of offers