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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records
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of social science methodology (quantitative, qualitative, or combined). Ability to work independently and as part of a team. Very good knowledge of English (the working language of the project); knowledge
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second in the UK for research power and first in England. The UCL Hawkes Institute (https://www.ucl.ac.uk/hawkes-institute/ ) combines methodological researchers from the Departments of CS and Medical
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, KY Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu
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. This position will direct clinically inspired research programs leveraging a large, well-annotated library of patient-derived cancer models to evaluate novel therapeutics, drug combinations and develop biomarkers
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detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
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backgrounds. Perform related duties as required. MINIMUM QUALIFICATIONS Bachelor’s degree and 2 years of experience in plant science or agriculture, or an equivalent combination of education, training, and
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calculations, to design complex surfaces that combine mechanical building blocks capable of repelling bacterial biofilms, to synthesize the proposed coatings, and to evaluate their effects against a range of
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https
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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The