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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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possible. We strive to ensure the diversity of our candidates, and we reflect this ethos in the way we promote the ICRF programme and in our recruitment and selection process. Imperial’s diversity networks
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technologies for humans. Researchers in MARCS come from many disciplines including cognitive science, developmental psychology, language science, music science, cognitive neuroscience, and biomedical, electrical
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the Zero Net Emissions Agriculture CRC initiative , focusing on developing tropical grasses with low methanogenic properties to help combat agricultures impact on our environment. This position contributes
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Scalable Quantum Devices for the Future Quantum Internet. We seek an outstanding experimental physicist to join the Hybrid Quantum Networks Lab (HQNL ) as part of the UK’s Integrated Quantum
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of training. Excellent organisational skills. Must display clarity of thinking and ability to address a variety of research topics. Ability to communicate complex information clearly. Ability to build
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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-dysfunction associated steatotic liver diseases). Our group is part of a vibrant scientific community at the TU Dresden and works closely with national and international partners within initiatives such as the
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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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