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@stanford.edu (link sends e-mail) and cc eskanlou@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or Julia), and Experience interacting with and communicating complex
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Programming skills in Python Experience with Machine learning (PyTorch/Keras). A computational mindset and a strong interest in computational biology We offer A versatile and challenging job with
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this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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-based and farm models with a focus on biogeochemical and hydrogeological fluxes. Knowledge of greenhouse gas inventories (methane, ammonia, nitrous oxide) Proficient skills with scripting (R, Python) and