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structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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experiments Advanced molecular microbiology skills, including DNA/RNA extraction, PCR/qRT-PCR, genetic manipulation of bacterial pathogens (plasmid construction, transformation, generation of deletion mutants
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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advanced spectroscopic and structural techniques, this postdoctoral project will establish clear correlations and mechanisms linking core properties critical to efficient light-harvesting with basic material
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advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers an excellent opportunity to further