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PhD student | Liquid Biopsy PhD student | Liquid Biopsy Published Deadline Location yesterday 16 May Amsterdam Do you enjoy working with state-of-the-art sequencing technologies to profile blood
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controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and Federated/Split Learning to design 6G telemetry
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-trust 6G infrastructure. This includes developing machine-learning models adept at detecting and neutralising threats and cyber-attacks within 6G networks. Your work will advance the state-of-the-art by
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international scientific meetings. The position is embedded in the research group of Professor Christian Kaiser at the Bijvoet Centre for Biomolecular Research with state-of-the-art facilities, including brand
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the Graduate School for the Humanities. You will write a PhD dissertation, and provide your services to the Faculty of Arts at Radboud University for a period of six months. As this position is embedded in
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to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours. Are you ready to challenge yourself? We're seeking candidates
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networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial
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: Philosophy and Religious Studies, History and Art History, Media and Culture Studies, and Languages, Literature and Communication. With its research and education in these fields, the Faculty aims
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knowledge domains: Philosophy and Religious Studies, History and Art History, Media and Culture Studies, and Languages, Literature and Communication. With its research and education in these fields
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analytics engine, with capabilities on par to the ones offered by state-of-the-art databases for static data. This is a Teaching PhD position. Throughout your PhD you will spend some time helping with