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expertise in the fields of power supply systems, protective relays, transient simulations and power electronics. You will be based primarily at the G2Elab laboratory in Grenoble, but will make regular visits
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is an AI-based technique that supports imitation of the preferred system behaviour by using its behavioural history. It helps in the inference of the reward values by taking the observed history
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of completion. - Copy of (Research) Master thesis. If the MA thesis is unavailable, the applicant should clarify why this is the case and attach a different writing sample (e.g., a copy of an article, book
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assessment (LCA), food science, modelling and simulation, agricultural production chains and industrial ecology are valuable for the work and meritorious for the position. You will be able to complement your
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calculation of wave propagation phenomena (e.g. acoustics, earthquake waves, structural dynamics) Development of numerical methods for structural mechanics (beams and shells) Interaction of CAD and simulation
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of completion. Copy of (Research) Master thesis. If the MA thesis is unavailable, the applicant should clarify why this is the case and attach a different writing sample (e.g., a copy of an article, book chapter
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, nominate Professor Keogh as your proposed principal supervisor, and copy the URL link to this scholarship website into question two of the financial details section. About the scholarship This PhD project
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trapping of lithium to form pegmatite ore bodies. The project will utilise high-pressure high-temperature experimental equipment hosted by the UU Earth Simulation Laboratory, and the world-leading analytical
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to simulate cascading disaster effects, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and
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retrieving, storing and organizing large amounts of sensor/equipment data. Experience in building data-driven and simulated models using advanced data analysis techniques, including predictive timeseries