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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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of 5 years of experience in human subjects research -Background in sleep or circadian research, particularly with EEG or polysomnography -Proficient in statistical analysis using MATLAB, R, or Python
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of power system dynamics, stability and grid-forming control. Proficiency with relevant software, such as MATLAB/Simulink, is essential. Experience with hardware in the loop (HIL) setups and tests is
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developed algorithms for extraction of digital mobility outcomes (e.g. gait outcomes) Very good knowledge of and experience using Matlab or equivalent programming languages (e.g. R, Python) Database and
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models) - Survival analysis (Cox models, competing risks) - Demonstrated knowledge of R - Familiarity with Matlab, SPSS and similar programs are an asset - Excellent verbal and written communication
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experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R). Required Documents Resume (describe relevant experiences and accomplishments). Cover letter
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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CHEE 370 or its equivalent Computational Methods in Chemical Engineering (CHEE390): Excellent knowledge of MATLAB CHEE400: Having taken CHEE400 or equivalent courses in Energy Science , Renewable Energy
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knowledge in ATM is highly advantageous Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences Proficiency in programming (Python, C++, MATLAB) Excellent
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, MATLAB, or Python) and use of generative AI is an advantage. Open to fixed-term contract. Please apply via the NUS Career sit. You may send a copy of your cover letter, CV and names of 3 references (name