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emissions modeling for a local concentrated animal feeding operation (CAFO), and prepare results for publication. Collaborate with USDA‑ARS workgroup contributing to enhancements of the USEPA CMAQ/STAGE model
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, and modeling. Geospatial modeling To model the spatial distribution and quantify the suitability of waterfowl habitat conservation capital and opportunity in Michigan, including consideration and
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/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with
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topic in specific. Lay emphasis on how your background (PhD research, work experinence, etc) is an excellent fit to the job requirements. Please do not use Large Language Models (like ChatGPT
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and measurement Excellent written and verbal communication skills Demonstrated ability to work effectively in a collaborative research environment Ability to model Argonne’s core values of impact
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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associates in Artificial Intelligence (AI) in Biomolecular Modeling. The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular
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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R
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development and policy translation. The underlying methodology is grounded in LHS principles and diagnosis-specific rehabilitation continuum (DRC)1 models and frameworks such as the Multilevel Limb Loss and