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statistical analysis. Familiarity with Agile/Scrum, version control (Git, Azure DevOps), and BI testing frameworks. Experience with Power BI REST API, PowerShell, or Python to automate deployment, metadata
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-stack software development, particularly in scientific or high-tech environments with significant research and development. Proficiency in Python and their scientific packages (e.g. NumPy, SciPy, Pandas
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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proficiency in Python, APIs,and common AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain. Experience supporting cloud-agnostic AI/ML platforms (training, deployment, MLOps) leveraging
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environments. Infrastructure as Code using Terraform or similar tools, and cloud-native provisioning tools such as Azure ARM/Bicep, AWS CloudFormation. Programming and scripting in Python, PowerShell, and Bash
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, HTML, CSS & XHTML, Java, Python and Visual Basic, PERL, VBScript, JavaScript, Unix Shell Scripts, and Windows PowerShell), web server technologies (e.g. Apache, WebLogic) and database applications (e.g
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/code review/documentation experience, both individually and for a team Advanced programming skills in Python and C++ Proven experience in software project management, including producing time and effort
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and facilitating workshops and training sessions for faculty and scientists Advanced computer skills (e.g. Excel, Access, Word, Power point) Python and SQL programming experience Excellent verbal and
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spreadsheet/data manipulation software. • Familiarity with statistical software or programming languages for data analysis (e.g., R, Python, SPSS). • Exceptional analytical, problem-solving, and advanced
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technologies Familiarity with drug screeningprotocols Understanding of requirements/process in presenting research findings Familiarity with coding languages such as R or Python To be successful in this role you