33 development-"https:"-"https:"-"https:"-"Linnaeus-University" Postdoctoral positions at Texas A&M AgriLife
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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
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event by developing science‑based tools, spatial analyses, and community‑driven strategies that support long‑term resilience planning in a rapidly changing landscape. The postdoctoral researcher will join
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and the Department of Horticultural Sciences, Texas A&M University. BCE program focuses on the development of breeding lines and cultivars of horticultural crops for controlled environments (CEs
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to communicate, prepare proposals to include cost information on spread sheets as applicable and provide reports of activities Ability to effectively communicate with faculty, students and staff
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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crop improvement. The successful candidate will work on chromosome-scale genome assembly, gene annotation, structural variation discovery and development of genomics tools to accelerate breeding across
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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(incubation chambers, growth chambers, greenhouse hydroponics, aeroponics)As part of these overarching job responsibilities, tasks may include: •Prepare, collect and organize samples for microbial, growth
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. The ultimate goal is to develop personalized, evidence-based nutrition strategies to reduce the risk of diet-related chronic diseases. The Postdoctoral Research Associate will conduct research on cutting-edge
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping