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on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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platforms for diabetes and extracellular vesicles research. Responsibilities include microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant
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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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evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing. Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation
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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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for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training and inference processes Conduct experiments to compare with
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Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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learning, multimodal AI, and vision language models Implement and evaluate deep learning models and algorithms for research projects Process and manage large scale datasets for training and evaluation Write
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Requirements: Preferably Bachelor’s Degree In Computer Engineering, Computer Science, Electronics Engineering Or Equivalent. Good R&D experience in multimodal large language models Independent, highly analytical