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: $62,232 - $65,000 annually The corn and soybean pathology lab in the Department of Plant Pathology at the University of Minnesota is seeking a motivated Post-doctoral Associate to conduct research on tar
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performing and managing greenhouse experiments: plant growth, phenotyping, and associated statistical analyses. Experience with 3-D SfM/LiDAR and hyperspectral remote sensing in laboratory and/or outdoor
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biofilm-forming mechanisms, contributing to the understanding of plant disease resistance mechanisms and sustainable biocontrol strategies. The incumbent is expected to take a leadership role in data
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computational mechanics, FEM/Particle methods, time integration and analysis (60%); -help to write quality research proposals to government agencies and industry, prepare/assist in journal research papers/book
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, PCA, and SplitsTree Knowledge of plant taxonomy, anatomy, and invasive plants Grant management experience, including project timelines, personnel, and budgets Demonstrated writing skills, such as peer
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portfolio. Additionally, you will receive mentorship and support in developing and launching your own academic or industry research career. Key Responsibilities: Analysis of large datasets, both collaborative
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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless
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training employees and collaborating with non-UMGC researchers. Major job functions a) Laboratory experiments (50%) - Carry out laboratory experiments under the direction of the UMGC Innovation Lab Group
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and plant growth promotion in biocontrol agents using microbiology, molecular, bioinformatics tools, and biochemical assays. (20%) Conduct and manage greenhouse and field assays for evaluating potato
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health (early detection, classification, and prediction of future outcomes). The Postdoctoral Fellow (“postdoc”) will oversee the clinical and operational management of the International SCN8A Registry