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Engineering is seeking a highly motivated Postdoctoral Research Associate/Fellow (Level A or Level B) to contribute to a research project focused on the development of advanced microwave and antenna
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, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with training in
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(TNBC). Our research focuses on the interplay between tumors and the systemic tumor macroenvironment, particularly how tumor-derived signals reprogram hematopoiesis and neutrophil development and function
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. The responsibilities of this position will include, but will not be limited to, the following: Conducting scientific research and development work in MRI projects. The candidate will be performing research in line with
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able to work independently as well as in a team. Prior experience in working on projects around respiratory viruses, vaccine/drug development and/or innate immunity would be advantageous. Experience
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the development of novel approaches for medical imaging. The central aim is to understand how acoustic perturbations interact with spin relaxation in the presence of small-scale magnetic-field inhomogeneities. We
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motivated to translate quantitative findings into meaningful biological insight. Experience with spatial transcriptomics, multiplex imaging, cancer datasets or the development of novel quantitative
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online state estimation. Part of the project will include locomotion in challenging terrain and interaction/manipulation with the environment. You will be responsible for the design, development
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at the University of Oxford. This is an exciting opportunity to work with world-leading researchers and contribute to the development of innovative new approaches to combat antimicrobial resistance, which is a
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of the Principal Investigator. This position also offers advanced training to support scientific independence and career development, including opportunities to mentor students and contribute to a collaborative