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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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thinking and quantitative analysis Ability to work independently, to take initiative and be creative Ability and willingness to work collaboratively in a team, including with people of different nationality
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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 Number 853--1-27426 Is the
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Programme? Not funded by a EU programme Reference Number 853--1-27437 Is the Job related to staff position within a Research Infrastructure? No Offer Description We have the power of over 40,000 students and
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of the seven sites across Europe selected in the first batch. The advertised position is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program
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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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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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). 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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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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, 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