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value: • Experience in Arctic biology, plant ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing
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or more of the following topics; Machine Learning or Artificial Intelligence Must have good programming skills in Python Language requirement: Good oral and written communication skills in English English
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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of learning and innovation within the project team. Job Requirements: Doctoral degree in Chemical Engineering, Chemistry, or a related field Experience in python is required Experience in flow chemistry
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in econometric analysis Proficiency in scripting in and performing data analysis in Python Proficiency in running laboratory and field experiments More Information Location: Kent Ridge Campus
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programming languages relevant to computational modeling (e.g., Python, R, or similar). Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau). AI
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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, programming, data modeling and analysis, scientific writing, and public presentation Ability to work with specific technologies that are commonly used in the group include Python, Fortran, high-performance