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Field
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emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
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Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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photon detectors (both SPADs and SNSPDs). - Development of circuits for the treatement of analog signals produced by fast linear optical detectors. - Managment of the electornic elements between the FPGA
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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses
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. The work will be part of a European project on the creation of a secure chip for IoT systems and in collaboration with the phd student that work on the project for two years now. The main objective
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PhD studentship: Adaptive Logic-Based Machine Learning Grids Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs
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Description Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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Programmable Gate Array (FPGA) hardware technologies i.e. OpenFPGA. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Tousif Rahman Rishad Shafik Alex Yakovlev
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ESA projects and carries out technological research and development (R&D) in the field of integrated circuits (ASICs, ASSPs, FPGAs, microprocessors and microcontrollers). Duties Reporting to the Head of
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A fully funded four-year PhD position is available to work on the project titled “Fault-Tolerant Architectures for Superconducting Qubit Quantum Computers”. This position is a collaborative