211 coding-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "UNIV" Fellowship positions in Singapore
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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. Ability to work independently, manage deadlines, and write clean, reproducible code. Strong interest in finance research and excellent communication skills. Interested applicants should submit a cover
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cellular models. Proven track record in coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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the University and with external collaborators. Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and