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the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide
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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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from mass spectrometry analyses. These models will provide a more realistic picture of how chemicals behave in different tissues across zebrafish life stages, from embryos to adults. The project is
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from mass spectrometry analyses. These models will provide a more realistic picture of how chemicals behave in different tissues across zebrafish life stages, from embryos to adults. The project is
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modalities, and subsequent study of the effects on biological systems. The group has full access to state-of-the-art laboratories for in vitro, ex vivo and in vivo biological system read-outs including imaging
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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specific eligibility requirements is based on their ability to benefit from the doctoral programme. For the selection process, the applicant is required to submit: Essays, independent projects (degree
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD