294 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs in Singapore
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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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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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of Geography), Co-PI Associate Professor Vincent Chua (Department of Sociology and Anthropology) and Collaborator A/P Feng Chen-Chieh (Department of Geography). Scope and responsibilities The Research Assistant
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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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) and Collaborator A/P Feng Chen-Chieh (Department of Geography). Scope and responsibilities The RA will provide administrative support to the Principal Investigator for large grant management and liaise
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Chua (Department of Sociology and Anthropology) and Collaborator A/P Feng Chen-Chieh (Department of Geography). Scope and responsibilities The Research Assistant/ Associate will: • Support the
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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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. 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