51 phd-data-mining Fellowship positions at University of Birmingham in United Kingdom
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for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual
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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
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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holder will support the collection of primary and secondary outcomes data, assist with consent processes and data storage/transfer, and ensure fidelity with the casework framework, as well as conduct semi
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, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate
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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding
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-produce a survey Identify existing participants from a previous UK-wide survey study by the research team, and work with our partners to recruit new participants Collect information via the survey Analyse
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for research funding. Collect, analyse, interpret research data through a variety of research methods, such as scientific experimentation, literature reviews, research interviews. Apply knowledge in a way which
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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Analyse and interpret clinical and research data Apply clinical and academic knowledge to generate new intellectual understanding Disseminate findings through publications, conferences, and seminars Support