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to run their R&D programs, which will be consistent with the overall ARLIS mission. Exceptional candidates in all areas related to the ARLIS’s current research trajectories will be given serious
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Against Hunger (ACF), an international NGO, and funded by the German Federal Foreign Office (GFFO). The work builds on the Modeling Early Risk Indicators to Anticipate Malnutrition (MERIAM) project, which
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: Analyses Utilize statistical programming languages including but not limited Stata, SAS, R, Python. Perform data linkages. Perform statistical analysis of large dataset to investigate the associations
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originality, technical depth, and the ability to conduct research both independently and as part of a team. Effective written and oral communication skills, including preparation of presentations and reports
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: Student University Authorized FTE: Unit: BMGT-Dean-Office of Smith Programs & Events Hiring Range Minimum: Hiring Range Maximum: Campus/College Information: Founded in 1856, University of Maryland, College
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a relevant discipline from an accredited college or university. Preferences: Excellent English language proficiency. Degree in Public Policy, Engineering, Economics, or related field, with knowledge
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or Puppet. Experience designing and managing system and network security. Knowledge, Skills and Abilities: Proficiency with high-level programming languages such as Python, Perl, Bash Preferences: Cloud
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School of Business, assisting faculty in a variety of ways including integrating accessibility best practices and providing design, development, revision, research expertise to advance course and program
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technologies. This individual must operate independently to craft maintainable, testable, and well-documented code. Candidates should have extensive experience in scientific programming in Python and Javascript
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and quantitative skills; Basic knowledge of machine learning techniques; Proficient with Python and/or R programming languages Excellent English oral, written, and interpersonal communication skills