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SNNs are typically fed with spiking data (e.g., streams of binary values), and the output of each layer remains spiking. They are particularly well suited for several new sensors, such as event-cameras
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Entitlement: 33 days annual leave plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) Purpose of Role At the Lyell Centre, HWU, we are seeking a highly motivated and talented Post
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for sample processing, based on market feedback. The work is focused on the optimisation of system design to maximise performance and ensure excellent market-fit. The post involves lab-based design, assembly
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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teams at Heriot-Watt University. The position is available for immediate start, however timing can be discussed. For further information or to discuss the role, contact the Principal Investigator, Dr
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collaborations. Key Duties and Responsibilities The post holder is required to; Work with colleagues and line manager to devise and perform experiments, modelling and analysis consistent with the goals
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postdoctoral experience in these areas. Candidates must have submitted their doctoral thesis before starting in post. Experience of publishing high-quality research in the above-mentioned fields, proportionate
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing