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Field
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following rehydration. How a differentiated cell can undergo such an extreme physiological transition while preserving genome integrity, cellular identity and the capacity to reactivate gene expression
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for an industry that has faced millions of dollars in losses from this pathogen. This position will support the research activities in physiology in tree crops in Washington and to conduct research
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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, seminars, and professional conferences Required Minimum Qualifications: Applicants must have a Ph.D. in Crop Physiology, Crop Sciences, Soil Sciences, Agronomy, or a related field at the time of appointment
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management in ornamental crops. This position will be an initial 18 month appointment with a possible extension, working with MREC faculty coordinating and conducting research on: Growth, reproduction, and
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systems. This position will investigate the role of lipid remodeling in cotton stress and recovery resilience. This research will advance both fundamental insights into cotton physiology and biochemistry as
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the ‘Uppsala BioCenter’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants
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: Microbiome, Omics, Plant Physiology and Crop Improvement, Plant Pathology, By-products Valorization, Soil Sciences, Agronomy, and Sustainable Farming Position Overview We are seeking a highly motivated and
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on combinations of biology, chemistry, biochemistry, molecular biology, and plant physiology. This research will include growing transgenic, hybrid, and/or commercially relevant crops for conducting pathogenic
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multispectral, hyperspectral, and RGB imagery. These models will integrate crop growth models, agronomic data, and genomic information to predict key wheat traits under varying climate conditions. The position is