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Field
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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), on a fixed-term contract until December 31, 2026. The position is created within the project “ISS Contribution to ALICE Physics, Computing, and Hardware – ISSconALICE.” Where to apply E-mail
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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setting, enabling fast and predictable adaptation with minimal overhead. A central focus is the co-design of algorithms with edge hardware and embedded platforms. You will investigate implementation
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-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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robotics, AI, and validation methods International secondments at top-tier academic institutions Access to real-world intralogistics systems and state-of-the-art hardware/software platforms Collaboration
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European monitoring of plant-pollinator interactions; https://seppi-pollinate.weebly.com ) initiative, extending its proven hardware and software frameworks into the challenging and complex nocturnal