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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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We are seeking a research fellow to join our team in advancing R&D efforts in EV charging and 5G/6G security. The successful candidate will contribute to developing secure infrastructure and
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We are seeking a research fellow to join our team in advancing R&D efforts in EV charging and 5G/6G security. The successful candidate will contribute to developing secure infrastructure and
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
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or adaptive designs. • Proficiency in at least one of the following: R, Python, JavaScript, or other relevant data analysis or app development tools. • Familiarity with EMA, EMI, MRTs, or SMART designs is
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for various projects using tools such as SPSS, R, and/or Microsoft Excel Draft conference and journal submissions based on research findings Prepare financial and progress reports, presentations, as
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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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-related disciplines Demonstrate solid foundation in statistical analysis (e.g., SPSS, R, STATA) Desired: prior experience in systematic review and evidence synthesis Desired: prior research experience in