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of Natural Sciences Education who had an appointment in 2024-2025 and apply by the “Initial Review Date” will be considered prior to all other applicants. The School of Natural Sciences anticipates hiring full
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of Applied Mathematics who had an appointment in 2024-2025 and apply by the “Initial Review Date” will be considered prior to all other applicants. The School of Natural Sciences anticipates hiring full and
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. Qualifications Basic qualifications • Bachelor’s degree in Civil and Environmental Engineering, Agricultural Engineering, Natural Resource Management, or a related field • Strong organizational and problem-solving
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Engineering. Excellent written and verbal communication skills are required. Preferred qualifications Applicants are preferred to have a strong background in controls and and hands-on experience with robotic
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Farms Food Future (F3) initiative by aligning new program development with regional priorities in agricultural technology, innovation, and workforce development, particularly in support of economic
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large
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. The SWF program is an innovative initiative designed to equip researchers with the knowledge and skills necessary to tackle the challenges of climate change and water resource management. By integrating
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based at UC Merced who are skillful in educating medical students with the foundational science concepts, community health experience, and San Joaquin Valley experiences that they will need to advance
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Smart Farm Research Junior Specialist, this position will contribute to both the research and public-facing missions of UC Merced’s Experimental Smart Farm and the Farms-Food-Future Innovation program
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-established research programs in fields including agricultural technology, biomedical, behavioral and health sciences, climate science, sustainable systems and solutions, theoretical, computational and data