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Field
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has rapidly evolved through new technology and knowledge, enabling advanced interventions close to the patient, such as AI-assisted ECG interpretation, remote monitoring, and point-of-care diagnostics
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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are looking for someone with a doctoral degree in Condensed Matter Physics, Materials Science, Chemical Engineering, or a closely related field. Specific entry requirements include: Demonstrated hands
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: October 2026 Full call details, eligibility criteria, application templates, and a matchmaking platform for identifying potential supervisors are available at: https://www.scilifelab.se/data-driven/ddls
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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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rich history and culture, and is a true academic and cultural hub. Find out more about moving, living and working here at https://internationalhub.uppsala.se/ Application deadline: 2026-04-20 Place of
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research at LiU: https://liu.se/en/research/cybersecurity The opportunity to work in a friendly atmosphere and strengthen the excellent research ongoing in the division together with existing and forthcoming
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if the applicant has: at least 60 second-cycle credits at an advanced level with relevance for the research topic, or an MSc in Engineering in Computer Science and Engineering, Electrical Engineering, Information
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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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9 Jan 2026 Job Information Organisation/Company Umeå universitet stipendiemodul Department Faculty of Science and Technology, Department of Physics Research Field Physics Researcher Profile