26 computer-science-programming-languages-"the"-"UCL"-"U"-"U.S"-"O.P" positions at Linköping University
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) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 29
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written in English (max. 2 pages). The letter should briefly outline how your profile and experience match the advertised position and the skill sets required. A CV outlining your education and work
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the project will be carried out. Your qualifications You have graduated at Master’s level in machine learning, computer science, or a related area that is considered relevant for the research topic
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Meritorious is if you have: experience with the statistics program R experience with various immunological methods such as flow cytometry and proliferation previous experience of working in a research group
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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written English. It is also advantageous if you are currently studying at Linköping University. The workplace The Department of Computer and Information Science was founded in 1983 but its roots go back to
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educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs
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in integrative multi-omics as needed. The person we need The person we need have/is: • Strong programming skills, with proficiency in high-performance languages such as C, C++, or Python. • Familiarity