72 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" positions at Nanyang Technological University
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statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g
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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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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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on implementation/experimentation, maintain best practices for coding, safety evaluation, and data handling. Expectations: high research ownership, strong experimental rigor, proactive problem-solving, clear
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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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optimization Collaborate with product, research, and business teams to translate complex requirements into scalable solutions Mentor and technically guide engineers, conduct code reviews, and set engineering
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. Familiarity with industrial products’ standards and certifications, grid connection codes of different countries, etc. Good written and oral communication skills Proficiency in power electronics circuits, field
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to projects by performing medium-level coding tasks, assisting with technical challenges, and supporting the development process. Compliance Audits: Participate in audits to ensure compliance with both internal
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tools, APIs, RPA, or low-code / no-code platforms. Data analysis, reporting or visualisation. IT systems support hardware, AV or digital display technologies. Prior experience in a library or academic
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categorical methods for describing and reasoning about modern AI systems. Formulate and verify mathematical properties of AI systems using rigorous, algebraic and code-based methods. Apply the developed