890 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Queen Mary University of London" positions in Sweden
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, the University contributes to a better future. Doctoral position in Medical Science Project title: Development of nucleic acids-based technologies for clinical diagnostics The Department of Laboratory Medicine is
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interventions. Further, the development of artificial intelligence opens up entirely new possibilities for analyzing such large-scale data. Within the subject area of clinical epidemiology, there are ample
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project developing advanced SERS-based diagnostic technologies for rapid detection and characterization of wound infections. The work combines materials development, spectroscopy, and biomedical validation
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lifecycle management. At the same time, the project delves into software design concerns, focusing on the internal structure and evolution of AI-enabled components themselves, including the design of
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research projects related to marine projects, with knowledge and expertise. The position mainly includes research and development (at least 80%), which is largely carried out in close collaboration with
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sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
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We invite applications for a two-year post-doc position in the field of Organic Electronics, with the focus being on the development of a novel light source, a light-emitting electrochemical
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well as physically-based hydrological model development. The principal supervisor will be Ylva Sjöberg at Umeå University, and the research involves an interdisciplinary team of collaborators at Gothenburg University
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https