53 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" positions at Linköping University
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scientific backgrounds. LOE offers state-of-the-art infrastructure, including cleanroom facilities, advanced chemistry laboratories, biolabs, and photonics laboratories (see: https://liu.se/en/research
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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that develops new knowledge and innovative solutions for sustainable working life in an ageing population. The work is conducted in close cooperation with the Professor Ageing and Later Life and other researchers
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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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media and visual communication. The research ranges from foundational computer graphics and visualization technology to applications in areas such as medicine, astronomy, and biology. An emerging research
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of Neuro- and Cell Biology. Our research focuses on understanding the impact of mechanical forces in the tumour micro-environment and how this influences cancer progression. Our primary focus is on skeletal
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advances research on the changing material conditions of media, technology, culture and heritage, and how they intersect with environmental, institutional, industrial, and social conditions. Research in
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials