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. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
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importantly, understand each other’s functional capabilities and operational requests. To implement developed robotic interoperability framework in hardware/software in a real robot, and validate its
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Learning (ML) field Experience in software development life cycle and programming languages Experience in writing and publishing research papers in top-tier ML conferences (e.g., NeurIPS, ICLR) Skills in
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grids and microgrids. Proficient in MATLAB, LabVIEW, or similar programming languages. Experience in power systems simulation software packages such as MATLAB/Simulink or OPAL-RT. Strong analytical and
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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, implementation research, co-design or patient-public involvement Design of research projects using a range of methods (experience of quantitative and qualitative methods) Competent in utilising software packages
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software tools We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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for the Southeast Asian Ring of Fire through block modeling or geodynamic approaches Building new software tools for regional 3D geological and tectonic modeling Publication of scientific results in peer-reviewed
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developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate. Write, publish and disseminate results