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health assessment through visual behavior recognition, image-/video-based analytics, and biosignal interpretation (e.g., growth rate estimation, movement, coloration). Design and implement experiments
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expertise in machine learning for time-series, video, or biosignal analysis; familiarity with reinforcement learning, agentic AI, or domain-adapted LLMs is highly advantageous. Familiarity with fish
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application to software analysis, fuzz testing, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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activities as required by the school. Key Responsibilities: Develop, refine and implement Machine Learning and AI algorithms for real-world and media-related (e.g., video games) applications. Conduct
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability