14 wireless-sensor-networks Fellowship positions at University of Birmingham in United Kingdom
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of Birmingham Background We are seeking a Research Fellow to support the development and application of quantum technology-based gravity gradient sensors. The successful candidate will focus on the analysis and
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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and rheumatology. Dr Clayton also leads the cross-college Birmingham Translational Mitochondrial Research Network, providing additional opportunities for the candidate to expand their network and work
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project ‘The Cerebra Network’, funded by Cerebra. The Research Fellow will be split 50/50 between the two projects for the first three years (overall 1.0 fte), and then work solely on the Cerebra Network
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verification. This role involves: Contribute to the research goals of the project through collaborative research, with guidance from mentors and a strong network of collaborators Contribute to writing bids
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Action (BISCA) , and other strategic research initiatives such as the Met Office Academic Partnership and Birmingham’s Turing University Network . The recently renovated Elm House, is a building fully
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the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
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as posters Deal with problems that may affect the achievement of research objectives and deadlines. This might include working with CRN networks to ensure recruitment target is met Carry out
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where