10 Electrical-Engineering "The University of Edinburgh" Postdoctoral positions at European Magnetism Association EMA
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, materials, devices, chips, equipment research, and cutting-edge micro nano science and technology. You will conduct your research in the National Key Lab of Spintronics, based on the Hangzhou International
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Key Laboratory of Spintronic Chip and Technology of Beihang, and Chief Scientist of the National Key Research and Development Program (NKRDP). He has been engaged in the research of ultra-low power
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largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
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Description of the offer : We are looking for a postdoctoral researcher to work on a project within the Spin-Electronics Group at the National Institute of Standards and Technology (NIST) in Boulder
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Description of the offer : The Department of Materials Science Engineering at University of Illinois at Urbana Champaign (UIUC) is posting a postdoctoral researcher position led by Axel Hoffmann
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Research and Technology Alliance (BRTA) and is recognized by the Spanish Research Agency as a María de Maeztu Unit of Excellence. The Nanodevices group, co-led by Prof. Luis E. Hueso and Prof. Fèlix Casanova
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Neural Network hardware. -> You will be part of a dynamic team in Manchester with access to specialised laboratory space for thin film deposition and magnetic/electrical/high frequency characterisation and
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modeling of electrically induced magnetization dynamics in spintronic elements. Various computer programs, like first-principles methods (DFT and TDDFT), simulations of out-of-equilibrium dynamics and
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lift-off and study the systems by optical, electrical, and microwave methods. Furthermore, the Postdoctoral Fellow will support the experimental investigations by micromagnetic modeling. The successful
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are used to mimic the neurons in our brains. Such neural networks are highly efficient at recognition, classification and prediction tasks and could consume less energy in performing these tasks than current