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feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding of tomato promoter elements controlling the Zn and Fe deficiency responsive gene expression. You will
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environmental stewardship, strengthen soil health, and support global food, feed, fiber, and bioenergy production. Through interdisciplinary research and engagement with agricultural stakeholders, the department
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models. As a result, your project will inform and enhance decision-making in coastal dune management. The ultimate goal of this project is to build a surrogate wind field model that can feed accurate wind
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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of
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Jul 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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partners to make models and associated tools usable beyond the immediate research setting. You will not work on an isolated AI benchmark. ARCA predictions will be tested experimentally in greenhouse and
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data-driven analysis. The ultimate goal will be to better comprehend the link between developability, affinity and functionality. You will build and screen antibody and nanobody libraries, plan and run
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partners to make models and associated tools usable beyond the immediate research setting. You will not work on an isolated AI benchmark. ARCA predictions will be tested experimentally in greenhouse and