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required. Candidates should possess skills in handling delicate samples. Experience of working in spectroscopy instrumentation is desirable, as well as experience in programming FPGA to implement PID
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findings at conferences and workshops Desirable Experience working in a multidisciplinary team Experience with embedded electronics such as dedicated computing hardware (e.g., NVIDIA Jetson and FPGAs
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VHDL code Experience with CI/CD and containerised software Applications can be made online via our website. Please go to www.imperial.ac.uk/jobs and search for NAT01946. This position is available
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stands and/or commissioning electronics systems Experience of writing and testing VHDL code Experience with CI/CD and containerised software The opportunity to continue your career at a world-leading
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In-Memory Computing (IMC) ASIC prototype in nano-scale advanced CMOS technology based on spiking neural networks (SNNs) for both training and inference of of LLMs. You will also have the opportunity
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. The project will develop a low-power Neuromorphic In-Memory Computing (IMC) ASIC prototype in nano-scale advanced CMOS technology based on spiking neural networks (SNNs) for both training and inference
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manipulation of ultracold gases. Examples of relevant technical skills include basic electronics, development of FPGA devices, development of narrow-line width lasers, laser frequency stabilisation and control
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manipulation of ultracold gases. Examples of relevant technical skills include basic electronics, development of FPGA devices, development of narrow-line width lasers, laser frequency stabilisation and control
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: Containers and Kubernetes Hardware triggered synchronisation using FPGAs Scan sequencing logic Python software development Continuous integration and deployment High speed detector support Machine Learning
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, including FPGA, LabVIEW, and D-SPACE, to support the development and integration of these systems. As part of your duties, you will design test rigs and other necessary circuits to advance research in power