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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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Python and shell-based automation, Docker, and version control practices to support reliable deployment and maintenance of Flywheel gears and associated utilities. Ability to support imaging data handling
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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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orchestration such as Kubernetes. Proficiency in shell scripting. Experience with revision control systems such as Git. Proficiency in one or more programming languages such as Python or Ruby. Demonstrated
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experience teaching or assisting in a formal (classroom) or informal (out-of-school) learning environment. Experience utilizing coding language(s) such as Python. Bilingual skills (Spanish preferred). Other
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Engineering or Electrical engineering with expertise in hardware security. Excellent analytic, design, and coding skills. Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware
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, Python, Stata, or other statistical programming environments Strong interest in research related to ultra-processed foods, addictive processes, eating behavior, or food policy The salary range is $65,000
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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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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