740 processor "https:" "https:" "https:" "Universitat Pompeu Fabra Department " positions in Singapore
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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techniques to improve performance, energy efficiency, and hardware reliability Job Requirements: Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related discipline Strong
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computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin
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, Computer Engineering, or a related field. Strong background in smart contract security, blockchain systems, or software security. Experience in program analysis, formal methods, or vulnerability detection
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results in top-tier journals and conferences Job Requirements: Bachelor’s degree in electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier
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model training and finetuning. Job Requirements: Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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presentation works such as high-quality paper writing. Job Requirements: Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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vision challenges) Experience with version control (Git) and collaborative development practices Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408353/research-engineer-c
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simulation and real-world robotic systems. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Background and familiarity with research in the domain of real-time scheduling in safety-critical cyber