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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical
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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning
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with a publication list directly to Prof. Haruki Watanabe (hwatanabe@ust.hk ) by email. The subject line of the email should be 'Postdoc-Physics-HKUST’. We are not accepting applications for this job
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Faculty of Arts (Ref.: 534972), affiliated with the AI & Humanity Lab at the University of Hong Kong (https://ai-humanity.net ), to commence as soon as possible. The initial appointment will be for two
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, machine learning systems, model merging/fusion or related areas; (b) strong self-directed learning ability; and (c) commitment to open, reproducible and ethically responsible AI research. Applicants
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term of their appointment and are required to submit a brief annual summary of their activities
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the project leader in the research project - “Novel electrical machines and drives”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have no more than
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological