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Field
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related agencies—will also be required. Flexibility in work hours may be necessary to meet operational demands. Work Performed Retrieve and process clinical and administrative data from multiple clinical
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Technology Job Class Code MA04 Appointment Status Full-time Part-time FTE Limited Term No Limited Term Length Job Summary Manages the delivery of services relating to multiple technologies in one or more of the
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processes for recurring reporting tasks, using tools such as R, Python, or STATA. Create and manage data sets from multiple internal and external data sources, pertaining to faculty, students, and staff
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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to provide visa sponsorship for this position. Basic Qualifications: Proficiency in coding (Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills. Familiarity with one of the AI
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non-genetic factors in determining risk, survival, and disparities of common cancers, with a special focus on prostate cancer, breast cancer, and multiple primary malignancies. The postdoctoral
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deliverables that have a specific focus on utilising multiple master and auxiliary data sets. The Senior Data Analyst will be essential in ensuring that complex and sensitive data challenges are understood
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Other Computer Applications: Programming languages (such as MATLAB, Python, C, Java) and Graphic Design software (such as Adobe Illustrator or Photoshop) Required Additional Knowledge, Skills and
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or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses