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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Join us at the department of Oncology-Pathology, Karolinska Institutet
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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total, we are about 110 employees. http://www.slu.se/srh . Skogforsk is the Swedish forestry research institute and works with applied research and innovation in close collaboration with the forestry
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, ecology, engineering, environmental science, information technology, mathematics, physics, or similar; or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in
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clicking on the apply button below. The application should include a detailed CV with a full description of all the scientific merits and publications of the candidate, motivation letter, a research plan
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at the terahertz and millimetre wave division are on technologies with applications that span from basic science to future sensors and communication systems. We are at the forefront of innovation in terahertz
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transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. The project aims to design data-driven
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collaboration with the co-supervisors and their labs, the project will also involve the use of these methods (and methods developed by others) for applications in infection biology, chiefly for designing
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offered the position, the plan may be substantially revised. A personal letter (maximum one page) explaining your motivation for applying for the doctoral position. A certified CV listing relevant academic