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tolerance and the nutritional status of tomato fruits for human health. In this project, you will investigate the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab (https://www.epfl.ch
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investigates how electricity markets must be designed, and how demand-side flexibility must be mobilised, for a power system dominated by variable renewable generation to remain reliable and affordable
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Research Associate in Marine Microbial Ecology Posting Number req27025 Department Molecular and Cellular Biology Department Website Link https://mcb.arizona.edu Location Tucson Campus Address Tucson, AZ USA
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), corresponding to approximately 40 lecture hours per semester. https://www.epfl.ch/schools/cdm/ehub/ Profile A Ph.D., completed or close to completion, in entrepreneurship, technology and innovation management
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the supervision or mentoring of undergraduate and Master's students. Co-supervise doctoral and visiting researchers working on related topics. Where to apply Website https://jobs.energy.imdea.org/en
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 7 days ago
designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. Description: Understanding how magnetic energy is transported and
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are therefore particularly interested in candidates who understand how mass spectrometry data are generated and processed, and how experimental design, sample complexity, instrument acquisition and data
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics