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. You will build a clinical trial-ready cohort by developing an accurate, scalable sequencing and bioinformatics pipeline, alongside genetic risk stratification, positioning Newcastle as a world leader in
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brings together expertise in health data science, microbial genomics, and cancer bioinformatics. Th selected student will work under the supervision of Dr Arron Lacey, a specialist in machine learning and
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bioinformatic skills to predict the evolution of rare diseases? FSHD is a rare neuromuscular disorder. No approved treatment is currently available. Slow and variable disease progression complicate trial design
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. Previous experience in modelling or computation is highly desirable. Additional knowledge or experience in Neuroscience, Air Quality, Public Health, Bioinformatics, Mental Health or Psychology will be valued
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and life-cycle assessment will broaden your professional network while a dedicated training budget allows you to attend specialised courses—such as drone photogrammetry or advanced bioinformatics—and to
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clinical management. We are seeking a non-clinical PhD candidate with high-level bioinformatics skills to join our internationally renowned, multi-disciplinary team in Newcastle. This position provides
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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cross-disciplinary in nature, building skills in molecular biology, bioinformatics, ecological mathematical modelling, algal physiology and cultivation. We are looking for a highly self-motivated
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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fungal pathogens from the WHOs fungal priority pathogen list. In the second part of the PhD, you will build scalable, user-friendly bioinformatics pipelines for rapid genome analysis, tested using samples