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be developed based on metabolomic and metagenomic data obtained from experiments conducted in UCSB’s ExFAB BioFoundry for Extreme and Exceptional Fungi, Archea, and Bacteria (ExFAB website) in parallel
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Initiative at Wake Forest University, integrates an evidence-based, app-delivered curiosity program into classrooms, wellness programming, and campus culture at UCSB and George Mason University (GMU
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, biophysical/crop modeling, or techno-economic assessment (TEA) Advanced proficiency in Python or a similar scientific programming language, with a focus on reproducibility and open-source best
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studies, power systems, renewable energy grid integration, and optimization models. ● Extensive experience with managing, processing, and analyzing large datasets and strong programming skills
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work rather than only contributed to it. Fluency in at least one scientific programming language (R, Python, MATLAB) and demonstrated experience assembling or analyzing large or heterogeneous datasets
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can be meaningfully linked to applied conservation and real-world marine management contexts; ● Excellent quantitative and data analysis skills including programming in R, Python, or similar, and
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independent research and innovation, from inception and hypothesis building to scientific publications Advanced proficiency in numerical approaches, including Python, R or a similar scientific programming