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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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. The advertised position revolves around design and test of custom radio-frequency electronic circuits based on field-programmable gate arrays (FPGA, up to 20GHz) to drive high-speed electro-optic modulators, quasi
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will hold a PhD* in experimental particle physics or have an equivalent level of professional qualifications and experience. You must have the following essential criteria: Experience of data analysis
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Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We