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Field
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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Faculty of Humanities, Arts and Social Sciences This post is offered on a permanent basis and is funded by Biocultural HIVE until March 2031, in the first instance. In line with the University’s
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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, Database architecture supporting large-scale time-series battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge
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Salary: Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Background A Postdoctoral Research Fellow position is available in
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About us The Alzheimer's Research UK Drug Discovery Institute at University College London (ARUK UDDI) is a member of the Alzheimer’s Research UK funded Dementia Discovery Alliance (DDA) – a highly
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the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS), embedded in the Department of Computer Science (DCS) of the Faculty of Science, Technology and Medicine (FSTM).