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the multi-beam generation unit, imaging lenses, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT
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advanced modeling or simulation tools for polymer systems. - Background in industrial collaboration or technology transfer. Application Procedure : Interested candidates should submit the following
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operation to support design performance and flexibility. Utilize advanced simulation codes (e.g., Xsuite, MAD-X, Impact-X, TRACK, ELEGANT) and Python-based workflows to integrate and analyze results. Provide
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computational tools to capture and to analyze geometric urban data to answer important questions regarding cities. In particular, the following subjects will be considered: sidewalk representation, simulation
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part of a team including clinicians, neuroscientists, engineers and computer scientists, engaged with studying the early developing brain with previously unprecedented precision. The post holder must
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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FieldEngineering » Industrial engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills Numerical computer simulation of fluids and structures and their interaction. Signal processing and
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-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct experiments on contemporary quantum hardware platforms
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 7 days ago
performing long timescale ensemble simulations. Your Tasks Develop and improve the fESM CLIMBER-X in the context of long transient paleoclimate simulations Calibrate fESM parameters using transient proxy data
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the core multiphase reactive algorithm and incorporating accurate thermodynamic models into process simulators. The goal is to deliver robust, high-fidelity software tools for both established and emerging