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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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for representing, compressing, and computing with complex physical systems. The project is carried out in close collaboration with researchers in Electrical Engineering working on emerging memory architectures and
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. Faculty Architecture & the Built Environment The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is
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solutions that help move the world forward. Faculty Architecture & the Built Environment The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide
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develop, implement and validate state-of-the-art machine learning methods, ranging from deep learning and transformer architectures to unsupervised learning and representation learning approaches. You will
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and transformer architectures to unsupervised learning and representation learning approaches. You will work in close collaboration with clinicians, AI researchers, statisticians, and industrial
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at the Landscape Architecture and Spatial Planning (LSP) group at Wageningen University, as part of the Land Use Planning chair group. The Land Use Planning chair group investigates how we deal with scarcity
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orchestration architectures, investigating centralised, distributed, or hybrid approaches for coordinating autonomous satellite operations. The research will explore how onboard AI can enable scalable, resilient
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The postdoc project aims at fabricating graphene edge sensors for single molecule detection and biopolymer sequencing. The device architecture will be scalable and tunable by combining unique
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, coordinated by dr. Lydia Cumiskey (University College Cork, IE). You will work here You will be appointed at the Landscape Architecture and Spatial Planning (LSP) group at Wageningen University, as part of