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analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools; (iv) proven track records and ability to work independently and within a team; (v
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software packages, including SPSS and R, for large and complex data analysis proven knowledge and experience in undertaking research related to EoLC is advantageous relevant post-doctoral work experience and
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and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as Stata or R Excellent command of written and spoken English A demonstrated record of
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bioinformatics analysis using R is required, particularly in handling and interpreting large-scale immunological datasets, such as single-cell RNA sequencing. The successful candidate should be proficient in high
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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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Visiting Fellow in the Department of Public and International Affairs (Appointment for 10 months) [Ref. B/R/1168/09] Duties Contribute to teaching and teaching-related activities at both
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-quality publications in scholarly journals with global impact proficiency in statistical software packages, including SPSS and R, for large and complex data analysis proven knowledge and experience in
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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