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. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However
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into everyday gadgets like smartphones and IoT devices? This PhD position offers the chance to not only push technological boundaries but also to be part of pioneering research that integrates deep learning
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for the position of Assistant Professor in Urban and Regional Planning (Universitair Docent Planologie). As an assistant professor, you will teach, research, supervise PhD candidates and prepare research proposals
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PhD Cognitive Neuroscience: "The Influence of Predictions on the Mechanisms of Conscious Perception"
and fMRI) data analyses (e.g., mvpa decoding analyses, network analyses); Preferably experience with computational modelling (e.g., drift diffusion models, deep neural networks, reinforcement learning
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Creative watery methods Anti-disciplinary oceanic scholarship Oceans as Archives Oceans and Imperialism Deep sea mining Bodies of water Oceans and poetics You will design your own independent research
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on ideas of social Europe. We are especially interested in candidates who can approach Social Europe as a form of heritage from a transnational perspective, have an affinity with deep archival work, seek
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to incorporate network structures. Graph neural networks (GNNs), a subset of deep learning that leverages graph structures, have shown promising results. However, they fall short in quantifying model uncertainty
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to the dynamic and increasingly vital area of renewable energy markets. As a PhD candidate in our group, you will dive deep into the complexities of financial mathematics, developing and refining models and
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, including deep learning, reinforcement learning, causality, geometric learning, Bayesian methods, etcetera. Within the lab, collaboration is stimulated, as is interaction between group members in formal
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Software-defined and programmable networking is a key enabling technology to support 6G in achieving their promises of increased scalability and flexibility at a lower cost. Deep network