79 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Lunds universitet in Sweden
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means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. More about working at Lund University on lu.se. https://www.lunduniversity.lu.se/about
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promoted to a tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the
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that are commonly used today. Using the improved noise models, machine learning methods will be used to enhance the segmentation of EEG data into auditory signal and background activity allowing for refined control
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10 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Psychological sciences » Cognitive science Educational sciences » Learning studies
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applications, including development and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within