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for students, line-manage Research Assistants and D.Phil. students, mentor on methods, analysis and career development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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quantitative regime maps for spreading, sticking, rebound, freezing, peeling, and fragmentation. Using existing image-analysis tools and newly developed workflows, you will quantify droplet deformation, contact
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Austrian Academy of Sciences, The Institute for Habsburg and Balkan Studies (IHB) | Austria | 20 days ago
guidelines, co-supervising two student assistants Conduct in-depth historical and philological analysis of the Frangochiotika sources jointly with the PI Lead the project's micro-level analysis of vernacular
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should have: strong expertise in cosmology, general relativity, modified gravity, gravitational physics or relativistic astrophysics; experience with analytical and/or numerical research methods relevant
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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
programming (Python, MATLAB, IDL) with experience in data analysis, visualization, optical raytracing, and simulation software. Ability to develop custom analysis tools. Knowledge of numerical methods
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material and extracts. He or she will also contribute to the processing, annotation and analysis of the metabolomic data obtained.The project will thus establish a reference resource for the study of plant
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization