60 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" positions at Linköping University
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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individual salaries. More information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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Professor Theresia Arbring Sjöström (https://liu.se/en/employee/thear78 ), and Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ). LOE is part of Linköping University’s Department of Science and
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English, you must be able to teach and/or conduct research in English, and it is desirable that you can do so in Swedish within two years. The workplace The Department of Computer and Information Science
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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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for Sciences (SAINTS) Lab (co-supervisor: Assistant Professor Raghavendra Selvan ) at the Department of Computer Science of the University of Copenhagen in Denmark. We will strive for a tight collaboration
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Rising Innovative city . The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science. At STIMA we conduct research