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Field
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-cancer therapies drive systemic immune changes and influence metastatic outgrowth. The postholder will design and perform experimental studies, analyse data, and contribute to publications. Working within
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pathogens. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is particularly exciting because it combines new
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of artificial intelligence in psychotherapy. You plan and conduct your own scientific studies. You publish articles in international peer-reviewed journals. You give presentations at national and international
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the critical combinations of ice and weather conditions that drive ice-related risks to coastal areas and structures. The modelling results will feed into the design of a warning and monitoring system concept
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be directly involved in impact and outreach activities, including design and delivery of engagement materials and events. They will work closely with the project team to help foster a collegiate and
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disease surveillance for emerging and endemic pathogens. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is
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of independently managing a research project relevant or related to the VulcansFluids project and experience in experiment design or modification would be desirable. For further details of the role please see the
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, and metabolomics. Working closely with senior computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and
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participate actively in the LEIP's activities, including group meetings, occasional colloquia or conferences, and the broader range of LEIP activities such as citizens’ juries designed to engage patient voices
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible