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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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sign-on. https://www.myworkday.com/asu/d/inst/1$9925/9925$20301.htmld To be considered, your application must include all of the following attachments: Multiple documents may be uploaded in
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2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
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Manager Bargaining Unit NON Compensation Grade Library Compensation Grade Profile (LIB) Salary Range $68,000.00 - $145,250.00 Time Type Full time Duration Type Staff Work Model Hybrid Background Check
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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, check out our Recruitment Policy The ARI–CRG Institute of Mountain Genomics ARI and CRG have established a strategic collaboration to develop the Institute of Mountain Genomics, a joint research
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Health. This role is responsible for creating a welcoming environment at UCSF Health entrances by greeting, screening, checking in, and badging patients and visitors, as well as providing support in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness