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on various projects. Requirements A master’s degree, preferably in bioinformatics, data science, software engineering, computer science or a related discipline; Strong programming skills (e.g., Python, R
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Stata or R Excellent command of written and spoken English A demonstrated record of publishing academic research papers The ability to multitask and work independently as well as in a team Self-motivated
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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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of renewal subject to funding availability and satisfactory performance. Applicants must have a Ph.D. degree in Bioinformatics/Immunology. Working knowledge of R and/or Python is compulsory. 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
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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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Requirements: A Ph.D. degree in public health, social sciences, psychology or a related discipline Strong quantitative research skills with proficiency in statistical analysis using R, SPSS, or other statistical
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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