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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in
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high-resolution mass spectrometry, in vitro pharmacological characterisation of new psychoactive substances, as well as metabolomics and machine learning. As a PhD student, you devote most of your time
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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have the opportunity/responsibility to teach (at first exclusively in English) and supervise students in LiU’s Technical Faculty’s different educational programmes. The work will eventually encompass
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well as within security for critical infrastructure. More about research and eduction in cybersecurity at Linköping University is found here: https://liu.se/en/research/cybersecurity As Assistant professor in
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of national significance. Learn more at datahub.aida.scilifelab.se . You will be active within the research community, participating in departmental activities such as seminars and workshops, contributing