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developments in Green AI, foundation models, code intelligence, and AI systems. Job Requirements: Bachelor's in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related
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for Fusion Energy Key Responsibilities The project aims to develop and improve a three-dimensional, flux-driven, nonlinear two-fluid code for tokamak plasma simulations. The Research Assistant will be employed
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effectiveness of systems. Manage internal stakeholders, consultants and contractors during project implementation. Ensure M&E systems and works comply with statutory requirements, codes of practice, and internal
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robustly beyond English-centric assumptions for SEA languages and code-mixed text Assist in designing leaderboards and relevant visualisations for auditable reporting of results Co-authoring top-tier
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with the Code of Ethics of SAC Possess good interpersonal and communication skills Proficiency in IT skills (e.g. Microsoft 365, use of Apps, appointment booking systems, case management systems) A good
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statistical software package (e.g., SPSS, R). Experience with survey data collection and data management workflows. Competency in data cleaning, variable coding and conducting foundational statistical analyses
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. Conduct simulation studies, benchmarking, robustness checks, and computational optimisation. Apply the methods to real-world datasets and prepare code, reports, presentations, and manuscripts. Collaborate
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in experiment design, data acquisition, and data analysis required. Numerical Research: Strong expertise in Combustion Computational Fluid Dynamics (CFD) and extensive experience in code development
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, descriptive statistics, inferential statistics, and survey data analysis, with supervision. Conduct qualitative data analysis, including content analysis, thematic analysis, coding of interviews and focus group
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student mentoring Job Requirements: A PhD degree in Mathematics or related areas, with focus on numerical analysis or machine learning. Experience in computational math. Proficient in coding languages