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-infrared and visible wavelengths to identify and analyze exoplanets using light curve analysis and advanced modelling techniques applied to gravitationally microlensed stars. Join our dynamic and expanding
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its Components’. In particular, they will be involved in: - Numerical relativity applied to compact binary systems coalescence - Modelling the wave profiles of these sources, particularly neutron stars
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Science and Mathematics Education is seeking a postdoctoral researcher for a research project
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real difference. The role Applications are invited for a Postdoctoral Research Associate to work with Prof Justin Read in the Astrophysics group within the School of Mathematics and Physics
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The Department of Science and Mathematics Education is seeking a postdoctoral researcher for a research project on visualization and learning within the field of atmospheric and space physics. We offer a varied
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mathematics. Many of the problems within the project are motivated by questions in statistical physics and/or theoretical computer science. You are expected to actively look for opportunities, motivations and
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professors, including Co-Investigators from A*STAR: I2R and IMRE, and several industry collaborators to understand and derive insights from scientific experiments and data. The successful candidate will be
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expertise that postdoctoral fellows bring to Penn State. These include, but not limited to, analytical modelling of waveforms from binary neutron star and black hole mergers and exploiting gravitational waves
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phenomenon; and a mathematical ability to setup and solve linear, non-linear, and differential equations. Strong programming/coding skills and experience with numerical techniques is required. Proficient in
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appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Knowledge development in a changing world - Science and technology towards 2030. The Faculty of Mathematics and Natural