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Field
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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
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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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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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meetings, supervising/mentoring graduate and undergraduate students). Additional duties as assigned. Knowledge, Skills, and Abilities: Advanced Python and ArcPy programming skills. Advanced v-sri software
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with molecular/population/quantitative genetics, as evidenced by application materials and/or publications. Experience with bioinformatics (such as coding or scripting in R or Python) as evidenced by
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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong