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the model species, and explore their predictive potential for human toxicity assessment. This project fits overall within a larger overarching goal in our group of developing methods to relate genome
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genomics methods in a phylogenetically diverse array of eukaryotes. For more details about the lab, visit the lab website: https://www.sebepedroslab.org/ Whom would we like to hire? Professional experience
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quantification of microplastics in stormwater and urban sediments. - Integrate the results into the development of a method for estimating microplastic loads discharged to rivers at the territorial scale
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Proposed Start Date 01/05/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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, genomic and biochemical methods, the individual will identify/analyze/characterize molecular determinants for chromatin looping in plants. The individual will report directly to the laboratory Principle
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Materialist theories Developing appropriate (design) research methods Project management About the project:Thinking with Things is funded by the Austrian Science Fund (FWF) and will start on January 1, 2026. It
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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 23 hours ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic