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robust, data‑efficient skill acquisition. Expert data offers fast, safe, and reliable initial learning, while reinforcement learning supports systematic exploration and adaptation to new conditions. By
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to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in
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biological matrices. Hands-on acquisition of SERS data from biologically and clinically relevant samples, including in vitro bacterial cultures, experimentally infected wound models, and clinical wound samples
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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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7 Feb 2026 Job Information Organisation/Company Linköping University Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar 2026 - 12:00 (UTC
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strong ability to communicate and collaborate, good ability to express yourself and write in English, analytical ability, motivation and commitment. Great emphasis will be placed on personal qualities and
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charging stations is influenced by different system solutions. Methods to be used include data analysis, modeling, simulation, and optimization. The research is part of a larger project that also, in
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analytical methods such as qPCR We value a proactive approach to learning and teaching, as well as the ability to foster and organize discussions or seminars. The workplace You will work at the Department