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programming skills in Python and experience with machine learning frameworks such as PyTorch. • Prior research or project experience in machine learning, natural language processing, large language models
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disciplines with relevant research experience; Practical experience in programming (e.g., Python) and applying AI frameworks or molecular simulations to materials discovery; Hands-on experience in the synthesis
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the current global order influenced by the U.S. and China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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, sensemaking, narrative development, stakeholder needs analysis). • Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.
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, topological photonics, photonic crystals, or single-photon measurement techniques is advantageous. Proficiency in scientific programming and data analysis tools such as Python or MATLAB. Strong analytical
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/low-frequency electromagnetic systems. Good publication record in relevant research areas. Proficiency in MATLAB, Python, C/C++, or equivalent tools for simulation, data analysis, and automation. Good
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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/scholarships/nus-research-scholarship/) • Strong written and spoken communications. • Demonstrated strong research interest, skills, and experience. • Proficiency in programming languages (e.g., Python
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materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail