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, and optimize automated intrinsic labeling systems (13CO2, 2H, 57Fe, etc.) for crops that will be used in forthcoming human clinical studies. The postdoctoral associate will also learn how to develop
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applications from strong and creative researchers in machine learning or optimization who are eager to engage in a collaborative and interdisciplinary environment. Postdocs in our group are encouraged to pursue
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of their technological, nutritional, or sensory properties, is meritorious. What you will do Conduct research within the FAVOUR project with a specific focus on optimizing the flavor, functionality, and nutritional value
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: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Conduct
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motivated postdoctoral researcher that is interested to work on quantum information and mathematical optimization in the group of Felix Huber (https://huberfe.github.io/ ). Topics they can expect to work
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18 Nov 2025 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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to apply Website https://www.timeshighereducation.com/unijobs/listing/404365/vanguard-postdoc-in… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Conduct research to collect and analyze data on biological rhythms and
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring