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initiative and excel in problem solving. 3. Ability to work both independently and participate in teams. 4. Experience in MRI and high-dimensional signal processing. 5. Data analysis and
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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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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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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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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
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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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development processes including use case, user story and acceptance test case development, requirements management, quality assurance processes, systems analysis and documentation, database design and data
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods