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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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both the Institute and AFRL, advancing the science of innovation through research, collaboration, and workforce development. The initial fiscal year appointment is for one year with the possibility
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
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exceptional mentorship, comprehensive research support, and professional development opportunities — both internally and through collaborations with leading universities and external organisations including
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to the sustained development of the Internet by providing cost-effective cybersecurity and privacy technologies. This will equip IoT infrastructures with the necessary protection levels for the sustainable
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+. RESEARCH DESCRIPTION You will develop a research line that is embedded in a larger multidisciplinary drug development effort. Your main objective will be to develop inhibitory small compounds for a novel
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications
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verbal communication skills, and the ability to work independently and collaboratively. Experience in translational research and therapeutic target development is preferred. The successful candidate will