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Università degli Studi della Tuscia - Dipartimento di Scienze Agrarie e Forestali – DAFNE | Italy | 1 day ago
Offer Description Characterization and validation of pre-breeding lines for resistance to the main durum wheat pathogens (rusts and Fusarium spp.) in combination with abiotic stresses Where to apply
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@nmbu.no Where to apply Website https://universitypositions.eu/jobs/301028446-phd-scholarship-on-wheat-drought-… Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent
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will be responsible for performing laboratory, greenhouse, and field experiments related to wheat seed biology, specifically addressing issues such as low falling numbers, late maturity alpha-amylase
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metabolomics and transcriptomics data, particularly in wheat. The researcher will be responsible for the integration and analysis of omics datasets, the preparation of scientific reports, and the drafting
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- Associate Professor, 290-NN_FACULTY - Professor, 395-NN_FACULTY - New Tenure-Track - Pre-Academic Year Business Title: James Cook Endowed Chair in Wheat Research – Weed Scientist Employee Type: Faculty
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The spring wheat, specialty wheat, and canary seed breeding group in the Crop Development Centre works as a team to deliver improved crop varieties to support farmers and the agriculture industry in
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of Crop and Soil Sciences, you will be responsible for performing laboratory, greenhouse, and field experiments related to wheat seed biology, specifically addressing issues such as low falling numbers
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to establish an integrated modified pressure processing production pathway for wholemeal wheat and wheat-free bread-making. The candidate will be involved in three work packages that address the set-up
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 12 hours ago
to conduct standard agricultural field maintenance practices such as land preparation, planting, spraying, and harvesting of corn, soybean, wheat, grain sorghum, and forages in areas that will be utilized
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cotton, corn, peanut, wheat, and soybean—by integrating crop simulation models (e.g., DSSAT, APSIM) with remote sensing (multispectral/hyperspectral, and advanced data science methods. The successful