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Field
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Mathematica and MATLAB, as well as other software for teaching mathematics, like R and Python. Experience with online education and course management systems will also be considered an advantage. Minimum
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successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock-amplifiers, vector network analyzers, resonators is preferred
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Foundational understanding of data pipelines, ETL/ELT, and data modeling. Ability to write Python/R scripts and SQL queries. Willingness to learn Delta Lake, distributed computing, and cloud analytics
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labor, crime, and finance. Proficiency in programming with STATA, R, Python or Matlab; • Strong quantitative and statistical skills; • Significant coursework and experience in economics and statistics
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such as HTML, ReactJS, Python Flask, CSS, JavaScript, Typescript, jQuery, and Go. • Develop within Linux systems and platforms such as Python Flask; Power Platform; Azure (App Service and Functions); and
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to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets. Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research
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fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making
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Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing
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, clinicians, engineers, and neuroscientists as part of a collaborative team. Perform data collection, processing, and statistical analysis in Python or MATLAB. Document findings, prepare reports, and contribute