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Field
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environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline
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Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good oral and written communication skills in English English requirements
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related field. · Demonstrated experience in human subjects research. · Proficiency in signal processing and data analysis for human movement or physiological data. · Strong programming skills in MATLAB and
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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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electrical semiconductor defect characterization. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. Experience with semiconductor
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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to write code in at least one of Matlab or Python. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated ability to undertake high quality academic
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analyzing numerical methods and/or machine learning methods for scientific computing. A strong computational background and experience with languages and frameworks such as Matlab, Python, NumPy/SciPy
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experience, preferably with Julia and/or Matlab. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas