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are invitations to numerous events and the opportunity to attend language courses. Our alumni sponsorship measures flexibly support every Humboldtian’s individual journey through life, in both their careers and
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researchers individualised support and funding. Amongst the benefits available to award winners are invitations to numerous events or the opportunity to attend language courses. Our alumni sponsorship measures
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properties uncovered in optical/IR, or redshifts measured of these extreme IFRSs, will be the first of their kind, helping to determine their nature. If confirmed as very numerous high-redshift AGN
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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progress in the research work. Enquiries Please contact Victor Calo, Victor.Calo@Curtin.edu.au Further Information Top applicants interested in the position will receive a request to reproduce numerical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier