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- “Distribution mechanisms and risk prediction of fungal pathogens and antifungal resistance in urban waters”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Study on grain structure control of high-purity oxygen
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experience in writing research papers and project reports; (e) have solid foundation of using SPSS / R; (f) have a good command of both written and spoken English and Chinese, with fluency in Cantonese
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more than five years of post-qualification experience at the time of application; (b) experience in building and managing a website; (c) a strong command of quantitative data analysis; and (d
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experience. Applicants for the Research Assistant post should have an honours degree in the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) a good command of
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learning approaches; and (b) explore issues including imbalanced data, scalability, transfer, self‐supervision, etc., in prediction, inference, and planning with applications in medical images
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: (a) have experience related to children, neurodiversity, special educational needs, sensory processing, inclusive education or tool development; (b) have an excellent command of both written and spoken
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experience at the time of application; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have experience in intensive longitudinal data
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) background and experience in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given