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/training) in Applied Mathematics, Computer Science, Computational Biology, or related field and a minimum of 1 year of experience with basic coding skills in Python and pyTorch or an equivalent combination
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data integration, including integration of cell-based data with imaging-based data. Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC Excellent
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data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python or other available tools with an interest in
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using R, Python, and GitHub. The role also involves contributing to data visualization, interpretation, and manuscript preparation; assisting with wet-lab activities such as library preparation, histology
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programming tools (e.g., LabVIEW, Python, MATLAB) ENED 1120 - Foundations of Engineering Design Thinking II (a design centered course that builds foundational knowledge of multiple programming tools (e.g
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with python and optimization software, in particular GAMs; Familiarity with data and proficiency in statistical software (e.g., STATA, or SAS); Experience in conducting interdisciplinary research and a
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experience with Python/R. Evidence of manuscript and/or report writing.
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such as Python, Perl, Java Script, and shell scripts. Collaborate with team members on the design, implementation, and support of standardized automation systems. Lead a group of team members on design
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. Essential Functions Python Proficiency. Azure DevOps Experience. Front-end UI/UX Skills. Database Management. API Integration and Development. Proficiency in image management and machine/deep learning related
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance