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Field
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, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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, digital volume correlation, image registration, segmentation or quantitative image analysis. Surface metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent
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scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade data sources, such as UN Comtrade, UN Official Country National Accounts, or comparable
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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others
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in climate sciences, environmental sciences and oceanography or related field Familiarity with extreme event forecasting and projection Good written and oral communication skills Proficiency in Python
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geospatial datasets. Integrating remote sensing datasets (e.g., optical, LiDAR, SAR) with ecological or environmental data. Proficiency in statistical computing and geospatial analysis using R and/or Python
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research within a team, and proven ability to build collaborations. Proficient in programming with Python, Java and SQL and testing using open-source tools. Understanding of database and data analysis
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and