44 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" positions at The University of Alabama
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written and oral communication skills Preferred Qualifications • Prior experience teaching first-year engineering or computing students • Familiarity with MATLAB, Python, or similar technical computing
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
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communication skills. Ability to think creatively and use both data and intuition to inform decisions. Ability to manage multiple projects at the same time. Understanding of the higher education industry to help
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to enhance efficiency and service delivery. Exceptional planning, coordination, and organizational skills, with the ability to work independently and manage multiple priorities. Strong analytical and problem
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. Skills and Knowledge: Excellent written and verbal communication skills. Program development and assessment skills. Ability to manage multiple tasks/programs. Ability to form strong relationships with both
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on multiple social media platforms. Must be familiar with word press/website - updating content as needed. Ability to work both independently and collaboratively as part of a team. Skills and Knowledge: Strong
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, summarize, and effectively present data. Ability to perform complex tasks and to prioritize multiple projects in a research compliance office. Foster a cooperative work environment in a research compliance
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supervision of student employees to accomplish department and program objectives. Ability to prioritize multiple work responsibilities in time-sensitive situations, work with limited supervision, supervise and
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. Exceptional time management skills. Ability to independently and effectively manage multiple priorities and projects with efficiency and appropriate follow-through. Ability to implement innovative and creative
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leadership. Position will be responsible for teaching four (4) courses per semester, including large lecture sections of introductory statistics. Sufficient knowledge of statistical software, such as Python, R