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, engineers, and researchers focused on developing medical clinical decision support systems utilizing extended reality technology. You will participate in various projects utilizing software engineering
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regulatory expectations. You will gain experience in hands-on microbiological research, performing quantitative colony counting, ATP-bioluminescence data analysis with respective commercial software, and
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• Experience with protein purification • Record of publications in peer-reviewed journals • Knowledge of immunology, virology • Experience with structural biology software (Pymol, Phenix, Chimera, etc) Point
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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/statistical skills Experience with statistical analysis software (e.g. R, SAS), GIS software (e.g., ArcGIS, QGis), and programming languages (e.g., R, Python, C++). Experience or interest in science integration
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). Experience with GIS software (ArcGIS, QGIS) Field data collection, processing and interpretation experience Formal Computer Science coursework. Ability to research effectively independently and as part of a
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(e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Strong foundation in experimental design, advanced statistical analysis, and scientific writing. Proven
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statistical software such as SAS or R. Experience in preparation of manuscripts for publication in peer-reviewed journals. Team player, with the ability to collaborate effectively in a multi-cultural, multi
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use a range of spatial and analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management
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analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management, keeping accurate notes, and