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Field
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tools for the real-time identification of equatorial waves, based on the normal modes of the atmosphere. The project is supported by the Operational Program COMPETE2030-FEDER-00835400, within the scope
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of acoustofluidics, including the nonlinear interactions between acoustic waves and fluids across different frequency regimes. Your research will also involve applying acoustofluidic technology to mechanobiology
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-resolution shear wave velocity maps across the accretionary wedge and oceanic plate. The successful candidate will be based in the UW FiberLab (https://fiberlab.uw.edu ) under the supervision of Brad Lipovsky
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to the development of concepts of hydrogen storage by using floating foundations and necessary improvements. Investigate logistics of offloading under variable wind and wave conditions. Contribute to the project
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medium term, especially in preparation for the future heat waves that are expected to become unavoidable. The strength of this project lies in the interdisciplinary collaboration between several research
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development of biosensors Optimize novel aptamer beacon platforms Characterization with electrochemical techniques such as cyclic voltammetry, differential pulse voltammetry, square wave voltammetry, impedance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of the following areas: gravitational-wave/compact-object astrophysics stellar and galactic dynamics binary stellar evolution near-field cosmology/stellar streams. Candidates with experience in theoretical
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laboratory-scale ytterbium atom interferometer, the goal of which is to perform broadband searches for ultralight dark matter. -An experiment to demonstrate matter-wave interferometry with a nanoparticle. -An
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the energy of waves, tides, and river and ocean currents into electricity and have the potential to provide millions of Americans with locally sourced, reliable energy. The WPTO-funded Marine Energy Fellowship
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a new approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation