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are ideal for implementing spiking neural networks (SNNs), supporting on-chip learning and edge AI deployment. This project aims to develop a neuromorphic FPGA-based architecture integrating biologically
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) complexity classes for stochastic computing, and realisation of probability distributions and computations on them in novel materials and computing architectures. This position will contribute to the first
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Your job Are you interested in relations between the countryside and the city, spatial issues and their governance? Then we are looking for you! The Landscape Architecture and Spatial Planning
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in-vitro models that better resemble the intricate cochlear architecture to investigate drug delivery. Moreover, we will employ microscopy techniques to describe tissue integrity and drug pathways
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for the trapped nucleotide. Of paramount importance for reaching the project objectives is the appropriate functionalization of the graphene edges. Importantly, the device architecture will be scalable and tunable
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- from genes and environment to cellular responses and treatment’. The PhD student at Erasmus MC, in collaboration with Delft University of Technology, Faculty of Architecture, will investigate the role
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with Delft University of Technology, Faculty of Architecture, will investigate the role of light and different wavelengths of light on the choroidal thickness in humans. The position provides a unique
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: Earth Sciences, Human Geography & Spatial Planning, Physical Geography, and Sustainable Development. The position is shared with the Faculty of Architecture and the Built Environment external link (BK
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architectures for AI may be understood within the concept of a regime complex characterised by partially overlapping and diverse governance arrangements lacking a central institution or hierarchy. Overall, any
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a lack of democratic barriers to implementation, for example). Likewise, the polycentricity of emerging governance architectures for AI may be understood within the concept of a regime complex