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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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multilayer PCB, FPGA programming, embedded systems, and preferably ASIC-design. Knowledge in Systems Engineering, particularly in Space and Defence is highly regarded. You will also demonstrate personal
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leading role in mentoring junior students, with the opportunity to take on formal supervision roles. About you Qualifications: PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
, including parameter calibration and validation, sensitivity analysis and others present project updates, overviews, and formal presentations of research activities and outputs prepare peer-review papers as a