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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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to application, please contact: Dr Andrew Wynn – a.wynn@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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viability using multiple detection techniques (FACS, microscope, spectrophotometer). Collaboration on the analysis of created bacteria in Zebrafish models. Analyse data, contribute to scientific publications
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s multidisciplinary theme. The program prepares next-generation computational biologists
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aligned nations may face considerable challenges. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications
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centers, thereby contributing to the development of improved photovoltaic designs. Your tasks in detail: Preparation of electron transparent TEM lamellas Installation and alignment of optical equipment
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that align with current researchers at IAS. Furthermore, applicants should indicate interest in one or more of the following four research groups: The Segregation Group examines how people become unevenly