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Location Lexington, KY Grade Level 16 Salary Range $111,634-222,352/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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data, including the following: Assist with combining data sets from multiple experiments and perform analysis of those experiments using standard excel functions and other software. Enter results from
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& Experience: Bachelor’s degree in accounting or finance. ACCA or equivalent, CPA an advantage Technical Skills - Advanced Excel. - Financial Modeling - Data Analysis, Dashboarding & Visualization (e.g. Power BI
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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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. Position Overview Performs research activities and analysis; implements and evaluates research procedures and data. Records observations and measurements then reports results. Responsible for analyzing and
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to the development, distribution, and maintenance of free software for the analysis of genetic data. You will have an opportunity to work in a challenging and rewarding research area that constantly poses new
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information. Trains and mentors laboratory personnel. Performs other related work as needed. Minimum