2,339 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in United States
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Washington. The person will conduct research, prepare project reports and presentations for conferences, and write manuscripts for journals. Furthermore, the person will perform professional-level work in
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, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): Perform laboratory based
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: Summary of Duties: This position will support the research activities in physiology and pomology (apple and pear) in tree crops in Washington. The person will conduct research, prepare project reports and
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
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individual will be appointed as a Postdoctoral Associate in the Division of Nephrology, Department of Medicine . The overall research goal of the laboratory is to study mechanisms involved in the development
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Doctoral Scholar (2 Positions Available) Campus Columbia Work County Richland College/Division College of Education Department CED Child Development Research Center Advertised Salary Range Salary
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the development and progression of kidney disease. The laboratory of Dr. Sandeep Mallipattu in the Division of Nephrology, Department of Medicine at Stony Brook University School of Medicine is seeking highly
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global analyses relevant to advanced energy and manufacturing technologies. MEERA is currently supporting a multi-laboratory DOE Geothermal Technologies Office (GTO) project to develop an independent
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated