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atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
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-processing and modelling developed during the thesis will be combined with the development and use of a Digital Twin. This type of approach makes it possible to simulate a virtual replica of a given behaviour
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predictive control, maritime systems, or modelling and simulation of complex engineering systems. Strong programming skills and a solid foundation in mathematics, and dynamical systems. Personal qualities
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time
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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 9 hours ago
settings Serving as a professional role model for students Assist with the coordination of clinical activities and student schedules Participate in departmental meetings, including faculty development
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke
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modeling via CAD software such as COMSOL and HFSS. Design and simulation of electronic instrumentation using Spectre or equivalent and circuit layout using Altium or equivalent. Development of instrument
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candidate will begin by developing the new algorithm in simulation, leveraging advanced computational tools to model and refine its performance. Following this, the candidate will validate the algorithm's