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Department: Information Technology Classification: Info Technology Spec 3 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA
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Clinical Assistant Professor (12-month contract, Non-tenure Track) – Occupational Therapy Department
foundational courses, evaluation, and intervention at individual and group levels. Experience with educational technology and online education. Preferences will be given to applicants with established records
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-related challenges in maritime transportation systems; 2) supporting the development and application of quantitative and data-driven models for assessing and predicting risks and system performance; and 3
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Apply now Job no:539089 Work type:Full Time Location:Sydney, NSW Categories:Information Technology, Project Management Employment Type: 21-month fixed term, full time role Senior Innovation Product
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scientific career and the future of ocean technologies. This position empowers talented scientists to pursue bold, curiosity-driven research, build an independent profile, and turn ideas into impactful
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Scheduled Hours 40 Position Summary Performs detailed analysis and prepares reports to support the department. Conducts modeling, forecasting, trending, variance analysis, and business case
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Assistant Director for Life Design/Life Design Educator for Biomedical Engineering (Life Design Lab)
postdoctoral fellows. We are seeking an Assistant Director for Life Design/Life Design Educator for Biomedical Engineering who will report to the Senior Director of the Life Design for Undergraduate Education
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Engineer III - System Software Engineer to contribute to the design, development, and implementation of software-driven engineering systems that support the next generation of Digital Ag. This role
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Us We want to make Cardiff University an institution that is respected the world over. Our vision is to be a world-leading, research-excellent, educationally outstanding university, driven by
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, and advanced computational modelling, the research will identify personalized metabolic response patterns and their links to disease risk. The ultimate goal is to develop data-driven strategies