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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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-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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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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biology, microbiology, environmental science and environmental engineering as well as disease ecology. Subject area for the position: Ecology, with specialisation in marine microbial ecology. Location until
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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
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fixed organization and user fees as described on the homepage (https://www.umu.se/en/research/infrastructure/biochemical-imaging-centre-umea-bicu/). BICU is part of a distributed National Microscopy
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Development conducts research and education in innovative and sustainable product realisation. We combine technology, design and user perspectives to create the products and solutions of the future. Our
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of the textile industry. Here, design, technology, and management converge to create a strong foundation for textile research, education, and collaborative innovation. This positions the Swedish School of Textiles