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Field
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’ methodological skillsets. There are different models of Postdoctoral programs. CIL follows the Academic Community model, whereby fellows are part of an academic community learning and advancing not only from
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help to realize them experimentally on our quantum simulator. We are especially interested in simulating quantum many-body models relevant to materials science and condensed matter physics. We are also
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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the growth of the company. The need is to develop significantly larger system designs and simulations and to embed the added knowledge into the business as a legacy capability to reduce the reliance
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. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active
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simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms Investigate methods to optimize test structure designs for more robust determination of
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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applications in healthcare. Duties and Responsibilities Develop AI/ML Models: Create models for neuroscience and neuromorphic computing. Simulate Brain Systems: Model brain molecules, cells, and circuits