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to benchmarking, and deployment of edge AI computing models into edge computing devices. Tasks may include: preparing EO datasets for AI pipelines; training models and analysing performance; running inference
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to encourage knowledge exchange. In addition, we have a track record of excellent academic placements. Around 80% of our graduated PhD’s started their first job in academia, and over 50% landed a job at a top
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contribute to the development of offerings across the educational programs and specifically in the AI & Cybersecurity track of the MSc Cognitive Science and AI. The field of cybersecurity is developing rapidly
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with
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to improve R&D efficiency, and the influence of investors and other external actors on entrepreneurial outcomes. Our research also examines decision-making under uncertainty, including the use of Bayesian
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collaborative. Proxy data will amongst others infer the stable isotope composition of foraminifera and mollusc shells, since not much is known about the changes in temperature and isotopic composition
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the Netherlands’ national bird, the black-tailed godwit. Join our team! We seek a quantitative, ecology-minded PhD candidate to expand our state-of-the-art Bayesian Integrated Population Model (IPM
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with their own strengths depending on the workload. For high computationally demanding tasks—such as high-resolution data and image processing or artificial intelligence (AI) inference—hardware
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staff position within a Research Infrastructure? No Offer Description Are you excited about causal inference, real-world data, and methodological innovation? Join us to explore how the integration
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studying k-space (Fourier domain of the image in which the acquisition is performed) samples from over the entire time series, a neural-implicit representation can infer what the full k-space should look