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of therapeutics for heavy menstrual bleeding (HMB). We will be developing a human Organ Chip model of HMB and use it to identify causal factors, as well as discover new non-hormonal HMB therapeutics using multi
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controllers, and PID controls), and preferred sensors (LiDAR and RADAR) is required. Excellent oral and written communication skills. Preferred Qualifications: Familiarity with state-of-the-art models for AI
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systems. background in atomic physics, attosecond physics or correlated quantum mechanical systems. proficiency in numerical modelling. advanced programming experience. We offer Lund University is a public
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant
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services. The innovative application of machine learning to exploit satellite data within numerical modelling links to other scientific applications beyond those of the atmosphere. The project builds
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to understand the conditions leading to air and surface discharges under low-pressure conditions typical aircraft systems. The main objective is to develop simplified, operational insulation models and discharge
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human missions, which could extract the first Martian ice cores. You will combine GIS-based mapping and terrain analyses using data from Mars orbiters with: Numerical ice flow modelling, for example using
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the Dutch Research Council (NWO). The successful candidate will play a key role in developing software packages used for numerical relativity simulations, modelling gravitational wave sources and data
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biogeochemistry is also essential. The successful candidate will demonstrate proficiency in numerical modeling and statistical methodologies for interpreting in-situ and satellite observations. Additionally
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modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium, the Einstein Telescope collaboration and the Cosmic Explorer consortium. Candidates should