36 computer-science-programming-languages-"the"-"U"-"U.S"-"Prof"-"IDAEA-CSIC" positions at Medical College of Wisconsin
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files verification of enrollment. Prepares Candidate Background Assessment Program (CBAP) files for review and use in hiring decisions for clinical departments. Receives CBAP applications from candidates
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, accounting, mathematics, administration, English language, law, government, and human resources. Work requires resource management, mathematics, problem solving, coordinating work activities, critical thinking
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Position Description: Summary Function as Program Assistant (non-participant facing) within CAPS. Broad job duties include supporting research units within a research program in CAPS focused
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computational approaches. Ongoing projects include: 1) characterizing heavy substance use with precision functional mapping; 2) studying the association of substance use/exposure with longitudinal brain
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Requirements: Minimum Qualifications: High school diploma or equivalent. Two years of patient care experience OR graduation from an accredited Medical Assistant program. Preferred Qualifications: Hands
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, information management, procedural process, and recordkeeping. Computer, technical, interpersonal, oral communication, listening, and patience skills. #LI-SN1 Preferred Schedule: M-F 8:00-4:30 Position
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management, procedural process, and recordkeeping. Computer, technical, interpersonal, oral communication, listening, and patience skills. Preferred Schedule: Full-time role with expectations for coverage
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, procedural process, and recordkeeping. Computer, technical, interpersonal, oral communication, listening, and patience skills. Preferred Schedule: Full-time role with expectations for coverage during core
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, technical, interpersonal, oral communication, listening, and patience skills Preferred Schedule: Position Requirements: Qualifications Appropriate experience may be substituted on equivalent basis. Minimum
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and at least one scripting language (e.g., Python). Solid understanding of data engineering principles, including data preparation, feature engineering, and model lifecycle management. Solid