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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based
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neuromorphic hardware in particular Integrated Circuits along with a strong publication record. Position level is commensurate on experience, and we are actively encouraging applications to both levels
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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3 Mar 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Technology and Safety Research Field Technology » Information technology Computer
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Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 02/02/2026 Contract Duration: 24 Months School/Directorate: School of Engineering About the Role
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hardware on FPGAs along with a strong publication record. Position level is commensurate on experience, and we are actively encouraging applications to both levels. Applicants should also present a clear
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cutting-edge imaging techniques. We lead major initiatives, including the Wellcome-funded Discovery Research Platform for Naturalistic Neuroimaging and the Max Planck UCL Centre for Computational Psychiatry
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Hardware Implementation”. This project is funding by the EU funding schema CHIST-ERA and comprises a European consortium. This consortium is led by the Centre for Secure Information Technologies (CSIT: https
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hardware prototyping to evaluate approaches against performance metrics such as energy efficiency, inference accuracy and computational latency. The successful candidate will join the Nanoelectronics
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Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position