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utilizing data products from the LAGOS research platform (https://lagoslakes.org/ ). Experience in working with spatial data and large datasets in statistical programming languages such as R or Python is
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well as in laboratory. Expertise in handling and application of pesticides (mostly herbicides), statistical data analysis by SAS and R are also an asset. The initial appointment is for one year with possible
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greenhouse experiments. Experience working statistical software. Must have a demonstrated ability to work and problem-solve independently. Good organizational skills. Demonstrated leadership skills. Must be
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springboard to an academic or industrial position. Experience in experimental design, statistics/data analyses are critical and experience in at least 3 of the following areas is desired. We will also train the
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field research. Excellent statistics practical knowledge. Familiarity with programming languages such as Python, R, and Java. Valid Driver's License Required Application Materials Current CV Cover Letter
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in all stages of the dry bean breeding process. Conduct DNA extractions, analyze agronomic, canning, and genomic data, genomic and phenomic prediction statistical modeling, present data in oral and
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, analyze results, and communicate findings effectively. Experience in handling large datasets and conducting statistical analysis. Collaborative Spirit: Must be able to work effectively as part of a team and
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. Advanced knowledge in causal inference and use of econometric tools and statistical software (e.g., Stata, R, Python) to conduct research using secondary and primary data. Good writing and presentation
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/modeling and statistical calculations as assigned by management in order to support decision-making in Benefits, HR, and collective bargaining. Support HR financial operations for accounting, treasury
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on-air messaging, social media, and other platforms to improve communication among teachers and administrators statewide. Enter engagement activities and statistics into a CRM system provided by