32 development-"https:"-"https:"-"FORTH"-"Embry-Riddle-Aeronautical-University" Postdoctoral positions at Texas A&M AgriLife
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make a difference in the world! Position Information The Postdoctoral Research Associate is responsible for assisting in the development and application of large-scale modeling frameworks for water and
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research seeks a highly motivated Post‑Doctoral Research Associate to join a multidisciplinary team developing advanced
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experience in either one of those two topics). The data/samples for these projects are “shovel ready” and await a curious researcher to develop high-impact publications that inform and enrich our knowledge
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samples. Develop and conduct research projects related to a systems-wide approach to increase consumption of vegetables, fruits, and ‘foods for health’. Work on research teams and collaborate with other
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the Health Living Research team, create an Individual Development Plan in close collaboration with Dr. Rethorst, receive training in grant writing, and have opportunities for research dissemination through
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Job Description Job Responsibilities: -Prepare, collect and organize plant samples for testing the plant responses, using various culture settings such as hydroponic culture and soil culture. -Record
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/LCA inputs. The role involves mentoring students, coordinating with collaborators/industry, and publishing in high-impact journals while supporting proposal development. Job Responsibilities: Design and
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in the context of nutrition-sensitive chronic diseases. The position develops projects leveraging multiomics and Olink proteomics to examine the impacts of diet, obesity, nutrition and lifestyle
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. -Install, operate, and/or repair research equipment - Prepare and write proposals to funding agencies; maintain financial accounts related to research projects - Supervise undergraduate and/or graduate
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, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation. Develop or enhance model algorithms simulating carbon and