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. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
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language models) to extract data from case law desirable. Knowledge and understanding of the processes before international human rights systems of would be a very important asset. Knowledge of French
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-scale data analysis, and systems modelling. The post holder will play an integral role in experimental design, sequencing, data interpretation, manuscript preparation, project coordination, and the
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems involving different decarbonisation technologies, as well as the development of AI-driven decision
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specialised standard operating procedures. Additionally, candidates should possess expertise in host-pathogen interactions, supported by relevant experimental approaches, models, and analytical techniques
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative