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basic principles of statistics, machine learning, and LLMs. Proficiency in at least one programming/scripting language (e.g., Python, R), along with strong experiences in relevant libraries and frameworks
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Researcher (R3) Country Hong Kong Application Deadline 31 Mar 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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) Established Researcher (R3) Country Hong Kong Application Deadline 11 Apr 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Researcher (R1) Country Hong Kong Application Deadline 9 Jun 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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datasets using R and/or STATA, and genetic/molecular epidemiology including Mendelian Randomization) Strong quantitative background Good communication and data visualization skills Ability to acquire new
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post-doctoral researchers Prepare project reports and perform other duties as assigned Monitor and evaluate project progress Requirements At least 5 years of relevant work experience A Bachelor degree or
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Recognised Researcher (R2) First Stage Researcher (R1) Established Researcher (R3) Country Hong Kong Application Deadline 30 Jun 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job
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). The appointee will work on a project on the development of an e-learning system that integrates learning design and learning analytics functions to a Moodle-based learning management system. He/She is expected
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studies, specifically with mouse models. Proficiency in computer skills, including Microsoft Office (e.g., Word, Excel, PowerPoint) for data management and reporting. Desirable Skills: Proficiency in