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advanced programming skills (e.g., Python, R, or similar) and are comfortable working with large datasets. You have a solid quantitative background, with coursework in Finance and Econometrics considered
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such as Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large accounting or finance datasets, or have a proven record in utilizing APIs and
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that are contributed by BON in a Box collaborators. This includes understanding the analysis with support from publications, the team and the contributor, testing pipelines with different parameters, fixing R and python
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-engineering/… Position 1 will focus on hydrological and ecohydrological modelling. Applicants should have experience in hydrological and/or ecohydrological modelling, strong programming skills in Python, MATLAB
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references; and draft brief evidence summaries to support study aims and methods. Develop/modify scripts in R/Python for data transformation, geocoding/linkage, and visualization using documented workflows
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references; and draft brief evidence summaries to support study aims and methods. Develop/modify scripts in R/Python for data transformation, geocoding/linkage, and visualization using documented workflows
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Qualifications Basic programming skills in python Some lab experience Preferred Qualifications Experience with liquid cryogenics Required Documents CV
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criteria Knowledge of the functional renormalization group required. Python programming skills. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7010-ZIZJIN-002/Default.aspx Work
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number