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materials and devices. This position will require the candidate to employ a wide variety of laboratory and data analysis techniques to prepare and characterize combinations of materials tailored toward
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Functions Cleaning and organizing datasets Performing exploratory data analysis Preparing features for modeling The student will implement and evaluate statistical and ML models for various applications
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
projects. Resolves a variety of programming design and implementation issues. Works on programming assignments of moderate scope where analysis of situations or data requires a review of a variety of factors
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processes using predictive isotherms Curation and analysis of experimental chromatography data for model training and validation Collaboration with experimental and industrial partners Dissemination
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analyses, population genetic analyses- information provided in the CV and/or in the motivation letter; Experience in analysis of plant organellar genomes - information provided in the CV and/or in
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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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processing, data analysis, and measure construction using Medicaid administrative data or electronic health record (EHR); presents results to project sponsors; conducts literature searches and reviews; and
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, structuring, and analysing spectroscopic data using multivariate analysis approaches, and excellent verbal and written communication skills. The ideal candidate will be self-motivated with ability to conduct
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data analysis in the area of Applied Ecology and mammal conservation, within the scope of service provision and long-term research projects currently underway at BIOPOLIS-CIBIO, and mainly related
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qualitative data from publicly available sources, cleaning datasets, and preparing data for analysis. (Preferred) Experience using Atlas.ti or other qualitative analysis software and experience using Qualtrics