15 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at Oregon State University
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demonstrations, and developing technical materials that support on-farm decision-making related to irrigation and water use. The incumbent will engage directly with growers, advisors, agency partners, and
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used to fill five part-time (a maximum of 24 hours per week) Research Assistant for the School of Civil & Construction Engineering at Oregon State University (OSU). Transferable Skill Development
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research and data collection. Transferable Skill Development Position Duties 60% – Performs research in support of facility and project operations. 40% – Performs mechanical activities in support of facility
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and is in downtown Portland. The FIC Experiment Station supports mission-oriented research in the areas of food product development, consumer sensory science, and food safety. FIC is also home to
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-faculty Transferable Skill Development Position Duties Perform scientific research in physics; Meet with supervisor at least once a week to discuss progress. Minimum Qualifications Full Employment
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. Most positions will include laboratory research, data collection, and analysis. Transferable Skill Development Position Duties 100%: Duties to be determined by hiring unit/supervisor and may include book
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to the development and implementation of the Stakeholder Engagement Program (STEP), including support for field instrumentation, collection of competition performance metrics (e.g., input-use efficiency, profitability
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central nervous system mechanisms of involuntary weight loss and wasting (cachexia) during the development of cancer. The project work involves the use of invitro and murine models to understand the impact
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Lab and study the central nervous system mechanisms of involuntary weight loss and wasting (cachexia) during the development of cancer. The project work involves the use of invitro and murine models
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) for data analysis. Maintain organized and detailed research documentation, ensuring that all experimental records, protocols, and data are properly archived. Identify patterns or trends in data and prepare