66 parallel-processing-bioinformatics Postdoctoral positions at Chalmers University of Technology in Sweden
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courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power
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and project developers in reusing them in new projects. Taking the Chalmers campus as a starting point, we are developing scalable, AI-powered methods, such as computer vision for street-view imagery
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Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy
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Physical Vapour Deposition processes such as magnetron sputtering Scripting in python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will do Perform
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new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations, all aimed at harnessing
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application writing Expertise in complementary methods such as SOR, EC-XPS, ICP-MS, SERS, PM-IRRAS, etc. Experience in the use of high-vacuum systems and/or Physical Vapour Deposition processes such as
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the time the employment decision is made Strong written and verbal communication skills in English Experience in processing and analyzing remote sensing data Experience in selecting, implementing, developing