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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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Researcher under the guidance of Dr. Ziying Wang in the Atomic Scale Physics group led by Prof. Peter Liljeroth. The group consists currently of 3 Academy Research Fellows, 1 Postdoctoral Researcher and 5
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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as well as the reactor and process simulation and analysis. Details will be adjusted collaboratively as the project progresses. The project has access to two experimental reactor setups, common
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: Curriculum vitae (mandatory) Dissertation research plan (mandatory) A copy of the degree certificates and the transcript of study records (mandatory) Motivation letter (mandatory) List of publications (needed
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consists of three professors, one emeritus professor, four university lecturers, and several postdoctoral and doctoral researchers. The Doctoral Researcher (PhD student) may also benefit from the activities