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, precise and is pathogen agnostic, you don’t need prior knowledge of which pathogen is causing the infection to use it as a diagnostic. Challenges remain however in standardisation, application and
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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outcomes will then be assessed through metrics coming from this initial analysis, to assess how far they have successfully addressed the problem. The new clinics run by specialist secondary care clinicians
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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Researcher Senior. As a Researcher Senior, you will have expanded responsibilities, overseeing complex or multiple research projects and providing strategic direction. This professional-level role involves
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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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
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that the electrolysers operate safely and reliably while fulfilling the intended specifications. The knowledge gained from the experiments will be used to determine the appropriate risk and reliability analysis
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tackling climate change. One of the challenges of constructing a fusion power plant is how to fuel the fusion reaction. The vast majority of planned fusion power plants will use a deuterium-tritium fusion