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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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for the position. For additional information, please contact Prof. Alexandre Bartel (alexandre.bartel@cs.umu.se) Welcome with your application! Where to apply Website https://umu.varbi.com/en/what:job/jobID:894160
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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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how information is encoded, integrated, and retrieved from memory. Project description The successful candidate will contribute to a project investigating the neural detection of concealed knowledge
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measurements, including raw data processing and postprocessing. The data will contribute to one or two scientific articles. Work duties Research within the subject area Contributing to publishing results in high
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
scale and leveraging the rich legacy data already available, these issues will be addressed systematically and synergistically across four temperate regions of the Northern Hemisphere. The team will
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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io