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Field
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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral
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proficiency in programming languages (e.g., Python, C++, or Fortran). Advanced knowledge and experience of ab initio methods for total energy, electronic and magnetic structure calculations Advanced knowledge
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. Required Qualifications: Ph.D. degree in Applied Mathematics, Electrical Engineering, Computer Engineering, or Computer Science Preferred Qualifications: Programming skills in Python, C/C++, or Matlab
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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• Expertise in air pollution modeling and analysis. • Proficiency in air quality monitoring, sampling, and data analysis. • Advanced proficiency in R or Python. Required License/Registration/Certifications Job
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. Additional background with high-level programming languages such as Python, and experience with Linux cluster computing environment is strongly preferred. Candidates should hold a PhD or equivalent doctoral
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proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Proficiency in R or Python is greatly appreciated. Researcher must have the ability to work
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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, preferably python, and will ideally have experience in working with a relevant land-system model such as the Community Land Model, an atmospheric composition model such as GEOS-Chem, and/or satellite