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Telescope. This research may involve the analysis of large datasets, the generation of new simulations and the utilisation of Machine Learning techniques. The PDRA will be expected to hold a PhD in
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aims at developing a new and innovative system for the large scale analysis of stellar spectroscopic data. The "CHEmical Survey analysis System" (CHESS) will combine machine learning ideas with
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complete) a PhD in Physics/Astrophysics with focus on data analysis, preferably of gravitational waves data · You have experience and in-depth understanding of machine learning methods for data
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on topics including molecular clouds and star formation. Candidates with experience in machine-learning and magnetic field observation/simulation are particularly welcome to apply. Experiences with (sub-)mm
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have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
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supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our eight employee resource groups, numerous employee-driven clubs, and learning and professional development
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condensers Support integrated multi-physics simulations of reactor core, and other system components Develop reduced-order calibration approaches and apply machine learning and Bayesian calibration methods