24 programming-language "INSAIT The Institute for Computer Science" positions at Linköping University in Sweden
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Sweden Application Deadline 23 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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of programming, preferably interaction and/or web programming, and human-computer interaction is required. Experience and/or knowledge of semantic web technologies, such as ontologies and semantic web standards
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to communicate freely in oral and written English Your workplace Linköping University is one of the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP
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. Assessment of following essential skills will be used in selecting among eligible candidates: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical
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of your duties, typically 20 % of working time. Regarding teaching, there is the opportunity to contribute to courses within several of our programs, including our bachelor’s degree programs in in
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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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). The division offers a wide range of courses at both undergraduate and advanced levels in several degree programs at Linköping University (LiU). About the employment A position as an amanuensis is regulated in
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Demonstrated scientific presentation skills Written and oral proficiency in English (all activities at the Laboratory of Organic Electronics are conducting in English) In addition, the following areas
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text