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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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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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skilled biostatistician, informatician or data scientist to join our team and work on a project to identify biomarkers of response to treatment in people with rheumatoid arthritis, and to stratify
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explore how interactive technologies can help #makeNormalBetter for all, at scale. Our approach is in part to question the interactions we take for granted as “normal.” For example, rather than more data
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Disability Confident employer. We are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information Please contact Jordi Solana, e-mail j.solana@exeter.ac.uk
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-recapture for demography and social network structure; genome re-sequencing for pedigree information and genomic prediction; diagnostic testing for infection status and prevalence of bTB. The Research Fellow
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years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived primary cell
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using an atmospheric solids analysis probe system). An understanding of numerical data analysis (including chemometric techniques) will be an advantage as will experience of writing scientific reports
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information please contact Jordi Solana, e-mail j.solana@exeter.ac.uk