959 computer-science-programming-languages-"Prof.-Dr"-"Prof" positions at The University of Chicago
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the University to advance society’s understanding of our energy and climate future. The Institute combines faculty insights in energy markets and policy, climate systems engineering, and energy technologies
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ideal for a recent master’s graduate who enjoys both coding and statistics and who is eager to learn cutting-edge methods in computational biology. Responsibilities Clean, annotate, and batch-correct high
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raw data for input into workflows using R, Matlab, Phython. Assist in data collection. Computational analysis using MATLAB, Python, or other computer languages. Written reports and manuscript
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for personal growth and leadership development, developing community and engagement through the residential housing and dining program, and in areas such as artistic expression, spiritual exploration, and
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patient counseling in adapting to and coping with their changing health status. Maintains established departmental policies and procedures, objectives, quality assurance program, safety, environmental, and
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scientific research in computational biology. Responsibilities Plan, execute, and facilitate advanced technical/scientific projects; design, develop, and test computational methods; and collaborate across
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: Excellent command of American English spelling, grammar, and punctuation. Excellent computer skills in PC environment. Knowledge of Microsoft Word. Knowledge of The Chicago Manual of Style. Knowledge
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: Experience with various cellular and molecular biology techniques, (e.g., cell culture, western blotting, PCR). Technical Skills or Knowledge: Experience with basic office/lab computer software, including
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single large complex project to a program of smaller projects for university unit(s). Support Facilities Services and other University departments and units in pre-project planning activities, including
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of tobacco, alcohol, and other substances. The research program involves behavioral and pharmacological interventions, e-cigarette and smoking cue exposures, and smartphone-based ecological momentary