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Deadline: 30 June 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position is
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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Area Engineering Location UK Other Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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engineering software packages such as Matlab, CST, HFSS etc. are meritorious. Strong written and verbal communication skills in English What you will do Your major responsibility as a PhD student is to pursue
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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. Research environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work
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the Space Engineering PhD programme page. In place of a research proposal, you should upload a document stating the title of the project “Novel Electrochemical Architecture for Sustainable Propellant Rockets
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-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning