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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and
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courses in Python (e.g. DCS 109D), and other additional upper level applied computing and/or data science courses within the broader DCS curriculum based on their area(s) of expertise. Candidates should
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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methodological training in (bio)statistics and/or machine learning Interest in developing rigorous methods for biomedical, clinical, or public health data Experience with statistical computing (R and/or Python
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in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in