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Field
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field by the appointment start date. Strong econometric theory, probability, statistics, and research skills in IV methods, causal inference, and machine learning. Proficiency in R, Python, MATLAB
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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fuel cells. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and experience in high-power power electronics, digital twins, OPAL-RT/HIL will be a bonus • Prior
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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Python, as well as proficiency in other programming languages such as R, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO
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, environmental, or policy datasets. • Strong quantitative and econometric skills. • Proficiency in statistical software such as R, Stata, Python, or MATLAB. • Excellent written and verbal communication
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skills (e.g., MATLAB) an advantage. Publication record in reputable journals and the ability to independently drive research tasks to completion. We regret to inform that only shortlisted candidates will
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• Has strong background in optimization methods. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written and verbal communication skills. • Candidates without
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. • Knowledge of UAV communication systems and embedded AI. • Experience with simulation environments such as Gazebo, AirSim, Isaac Sim, or MATLAB/Simulink. • Experience in optimization