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science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and
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to publish the results of his/her research or scholarship during the training period. Minimum Qualifications Preferred Qualifications Experience with microbial cultures Experience coding in Python, R
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of heart disease are also desirable. Proficiency in C, C++, MATLAB, and Python programming, as well as experience with MRI physics and pulse sequence programming (preferably on Bruker systems) would be
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related field Experience developing and deploying AI models for healthcare applications Strong programming skills in relevant languages (Python, R, etc.) Experience with mobile sensing platforms Knowledge
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, build, and maintain ETL pipelines using Python, PySpark, and Microsoft Fabric Develop and manage data lake architecture and data models for analytics and reporting Create semantic models and reusable data
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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an enterprise EMR application and database Ability to interface with APIs, preferably using Python Ability to use tools such as Visual Studio Code, SQL Server Management Studio, Github, Copilot, Jira and MS
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JavaScript (including Vue.js) Maintain homegrown APIs in Django REST Framework Write and maintain scripts in PHP and Python Manage MariaDB databases and write queries against them Configure and maintain Linux
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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence