17 coding-"https:"-"https:"-"ESS---Escola-Superior-de-Saúde" Fellowship positions in Singapore
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are seeking a Research Fellow to support research in coding theory so that the coding theory group at NTU will continue to be one of the leading international centres in the field. This will help NTU
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and analysis. The analysis involves mathematical proofs and empirical evaluations (require writing codes) on the proposed algorithms and existing benchmarks. • Prepare slides and present scientific
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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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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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the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling). Expertise in classroom observation video coding will be highly advantageous. Familiarity with classroom quality
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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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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