266 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" research jobs in Singapore
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coding for analysis of large datasets and automation of routine tasks Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous
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, and secure storage of research data in accordance with study protocols d) Code parenting sensitivity using established coding frameworks e) Conduct literature searches, analyse data, and assist in
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: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2828582%29/28582-en_GB/ Research Associate apply here: https://careers.nus.edu.sg/job/Research-Associate-%28LKYSPP%29-%2828583%29/28583
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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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—specifically Python, C++, or Java. The developer must be able to translate logistical constraints into efficient, scalable code capable of high-speed, real-time decision-making. Integration Support While
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, code and analyze quantitative and survey-based data. Contribute to the dissemination of research findings including conducting literature reviews, preparing academic publications (e.g., conference
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experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted for an interview and a coding task. Applications will
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analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large amounts of data (video/audio) Skills in or knowledge of managing/using a Network
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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