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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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work together with the PhD candidate. Applicants are encouraged to familiarize themselves with our existing publications . In this work, there is also an expectation to be innovation-oriented, to help us
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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materials such as semiconductor nanowires, graphene, or two-dimensional semiconductors. They will have experience with designing, fabricating and characterising arrays of devices such as integrated circuits
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an asset for this position. 4. Knowledge of electronic hardware design and laboratory techniques for detector testing may be considered an asset for this position. 5. Knowledge of astronomy
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
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findings at meetings and/ or conferences. Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles
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the technological progress for decades. However, as devices now approach atomic scales, the fundamental laws of physics increasingly hinder further advances. To sustain the pace of innovation, both academia and
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow