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for own use and to support analysis by biologist colleagues without formal computational training. · Work with members of collaborating groups to select and prepare datasets for use in modelling
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up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk
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) and to the launch of the Competence Centre (WP15) Support the planning and monitoring of MUERF's research tasks and the timely delivery of deliverables Prepare peer-reviewed and practice-based
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aging and aging-associated diseases. We use a combination of models (e.g. C. elegans, mouse, iPSCs) and techniques (e.g. gene editing, nanobody generation, small molecule screens) to identify, assess, and
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from many sources. Develop approaches to model the performance of the aforementioned event-triggered systems, and to use these models to optimise SONNETS architectures. Collaborate with artificial
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the program for a period of one year, with a second year contingent on funding, and will be paired with a primary mentor at Harvard. Training emphases include the organization, financing, utilization, quality
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the intersection of sepsis, microbiology, molecular biology, and renal physiology. Our laboratories use the kidney as a model organ to understand how microbial signals shape tissue function, host responses, and
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Department: General Practice, RCSI Reporting to: Professor Patrick Redmond Location: RCSI University of Medicine and Health Sciences, Dublin Contract/Duration Up
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease