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external sources. Continuation of employment is contingent upon availability of funds. Essential Functions Responsibilities include, but are not limited to the following: Perform nutrient analysis on water
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under my supervision to support research related to AI-driven modeling of forestry systems, plant physiological processes, and ecological traits. The position will focus on developing computational models
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-renewable, while the one-year appointments would be renewable once pending need, satisfactory performance, and availability of funding. Each postdoctoral scholar is responsible for teaching 3 courses per year
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track position. The appointment is for an initial period of one year with a possibility of continuance up to a maximum of four years depending on performance and funding availability. The University
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- Psychological Sciences Working Title (if different from Position Title) Job Summary The Neurobehavioral Dynamics lab is looking for an Student Research Assistant interested in computational approaches, including
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funding and performance in the position Job Summary We seek a dynamic scientist/practitioner to lead development of the next generation of Best Management Practices (BMPs) for major row crops—including
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possible based on performance, need, and/or funding for a maximum of four years. These are non-tenure track positions. Salary will be commensurate with education and experience. Please upload a curriculum
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HA01 A Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 3 years; continuation contingent upon funding and performance in the position Job Summary This position is located
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. However, depending on the funding availability and performance of the candidate, the position can be extended beyond one year. The expected start date is April 2025. Minimum Qualifications The minimum
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Technology Skills Ability to use computers to conduct essential functions as requested, and to learn new software and programs as needed. Prior experience with fMRI, EMA, and/or psychophysiological research