102 data-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at Nanyang Technological University
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explore the influences of magnetic field. In-depth study of plasma physics, surface chemistry, and thin-film deposition principles. Conduct independent research, analyze data effectively, and communicate
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evaluation and analysis. Ability to independently operate lab instruments (e.g., oscilloscopes, lasers) for security testing and data analysis. Proficiency with tools such as Python, MATLAB, or C
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organic methodology. Key Responsibilities: Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry. Assist in instrument installation and maintenance, and
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. Lead and execute independent investigations, ensuring accurate interpretation of experimental data and effective communication of key findings. Plan, implement, and refine experimental methodologies
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data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
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using relevant techniques. Conduct independent research, including experimental design, data collection, and interpretation, to support project objectives. Apply strong analytical and problem-solving
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to accurately quantify the impact of various natural hazards on local food production. By utilizing historical data and advanced modelling techniques, this facet of the research aims to furnish nuanced insights
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Responsibilities: Lead and conduct research projects focusing on the synthesis and applications of eutectic solvents and synthesis of carbohydrates. Design experiments, analyze data, and interpret results
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable