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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
isolate collection; antimicrobial susceptibility testing and time-kill (kinetic bactericidal) assays to characterize the activity of single agents and drug combinations; DNA extraction and preparation
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five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate
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strategies for estimating archaeological potential, that capture distinct criteria including scientific yield and cost effectiveness. These strategies will then be tested in real field settings (e.g. Turkey
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through literal contributions to the scientific community. The Wilson Lab seeks a Postdoctoral Associate for an NSF-funded project testing the hypothesis that mTORC1 acts as a master regulator of the aphid
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) and test the impact of different versions of information materials as part of a SWAT (study with a trial). Throughout the project, there will be a strong focus on social inequalities. About You
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submit their applications. Candidate(s) of the contest holding qualifications obtained abroad must prove the recognition, equivalence, or registration of the doctorate degree, under the applicable
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multilingual environment. Good skills in English speaking and writing. Documented skills, TOEFL-test or similar is a plus. Further information Post doctoral scholarship, full-time, for two years with placement
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full-time position). Eligibility criteria All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process. The CVs will be assessed according
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Experience1 - 4 Additional Information Benefits €37,316.64/gross per year (per full-time) Eligibility criteria All the candidates who cannot prove the required academic degree will be immediately withdrawn from
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reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration Experience with longitudinal cohort studies, pregnancy or birth cohorts