63 parallel-processing-bioinformatics Postdoctoral positions at Chalmers University of Technology
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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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physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations
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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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transport system. Our research portfolio is unique and covers all modes of transport and contributes to environmentally friendly process technology and sustainable energy supply. Through collaboration with
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engineering processing, material recycling, nuclear chemistry, theory and modelling. About the research project The project focuses on the development and synthesis of new π-conjugated organic semiconductors
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of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF
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residence permit must be presented by the start date, otherwise the offer may be withdrawn. We also reserve the right to withdraw an offer in case of an extensively delayed visa process (in the case that is
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Researcher to join our team in the interdisciplinary research project: Knowledge making in the era of Artificial Intelligence: the social regulation of writing for publication processes and products Become
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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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mathematics Experience in the design and evaluation of learning with digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users