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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
interested in this field of research and why you believe you would be a good fit for the Lai Lab. Education and Experience: Viral gene delivery, CAR-T therapies, computational protein modeling and design
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or runtime verification techniques for continuous dynamics and hybrid systems; Development of formal verification techniques and their integration in model-based design environments; Model checking of embedded
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SPECIFICS The Postdoctoral Scholar will be part of a team that is advancing the integrated movement modeling framework and is making them accessible to ecologists. The Postdoctoral Scholar will help develop
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maintenance of datasets, models, and data integrity checks. Support institutional data governance and ensure data quality. · Research, Analytics, and Reporting- Lead the design and execution of complex data
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-3180. Department: Information Science Department's Website: https://ualr.edu/informationscience/ Summary of Job Duties: This position is a full-time, tenure-track Assistant Professor position with
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gain valuable skills in analyzing large data sets and solving computations models, as well as experience with programming languages, with an emphasis on Stata and Python. Prinicipal Duties and
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prior research experience in one or more of the following areas: metabolism, single-cell transcriptome, 3D tissue or animal models, biomaterials, immunology, and stem cell biology. • Demonstrated
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Description We are hiring a research assistant for the EU-funded SafeNet project to explore forest biodiversity solutions. Tasks include data collection, documentation, and modeling preparation. Position is
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& Operations Compensation Grade Profile Manager; Program Leader (24) Time Type Full time Duration Type Staff Work Model Hybrid Location 55 Lock Street, New Haven, Connecticut Background Check Requirements All