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cells (iPSC), whole genome sequencing, genome wide association studies, epidemiology, experimental psychology, psychometrics, gaze-tracking, and obstetrics. We welcome applications from highly motivated
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, biochemistry, bioinformatics. The candiate must have a strong foundation in bioinformatics and use of -omics tools. Familiarity with whole genome, exome and transcriptome sequencing workflows is advantageous
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implement a combination of metagenomic sequencing techniques to comprehensively characterise baseline levels of microbial pathogens in wastewater and surface water and compare our findings with data
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limitations in nanoscale layered materials characterisation. This interdisciplinary approach will allow you to probe both local atomic environments and long-range structural features, such as stacking sequences
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efficiency and functionality. The process must be carried out with precise alignment between layers and at physical scale and process robustness relevant to industrial manufacture. The project aims
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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, overcoming the tough fungal cell wall. You’ll also design robust workflows for targeted long-read sequencing of clinical and environmental samples, enabling accurate identification and resistance genotyping
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for antibiotic prescription. Novel, rapid, point-of-care, precise and easily interpreted diagnostic tools are required to tackle this challenge. Direct sequencing of nucleic acids from patient samples can be rapid
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for integrating human-centric generative algorithms with absolute sustainability metrics into existing CAD/CAE/CAM systems. Provide policy recommendations for aligning industrial design standards with planetary
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Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics