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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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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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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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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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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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technical support and feedback. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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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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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
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare
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in Communication, Human-Computer Interaction, Information Science, Psychology, or a related field. At least 1 year of relevant experiences in doing research in a relevant field. Familiarity with social