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(iCIS) at Radboud University’s Faculty of Science. The Digital Security group is one of the leading groups in computer security and privacy in the Netherlands and Europe. You will also be part of iHub
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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in Microbial Ecology Read Noemí's story Close this story Does this sound like you? You hold an MSc degree (or will obtain one before the starting date) in computer science, artificial intelligence
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researcher with a strong technical background and an interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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looking for a talented postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
., privacy, non-discrimination, robustness in legal, ethical and technical terms, mitigation of possible bias, reliability and trustworthiness, interpretability and explainability, security and safety). The
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environments, including resilience and dual-use scenarios, where the AI system will process EO and contextual data to anticipate climate-related and security-relevant risks, and suggest context-aware
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, day-and-night imaging capabilities, providing reliable information to trigger and support coordinated observations in rapidly evolving scenarios such as disasters, maritime surveillance and security
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including