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the properties of post-consumer recyclates. The project will apply cutting-edge data science techniques, including principal component analysis and machine learning, to handle multivariate datasets and enhance
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or carried out their main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date To apply online
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/papers to the highest standards Experience of data processing, analysis and database management Working towards or nearing completion of a PhD in biology/ecology/conservation biology Knowledge, Skills and
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modes eligibility: Full-time or Part-time Primary Supervisor: Prof Susan Howick Additional Supervisor/s: Dr Le Nguyen and Dr Craig Donnachie Further information can be found via the above 'Apply' button
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Principal Investigator: Professor Stefan Dercon Contract Type: Fixed-term, from 1 October 2025 to 30 September 2026 (extension possible based on funding) About the project: This project evaluates
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studies to aid in the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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seeking an academic career in primary care cancer diagnosis, or in data analytics more generally. Main duties and responsibilities Undertake doctoral research on pancreatic cancer diagnosis Finalise project
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, Research Assistants, and an International Advisory Board. Your primary supervisor will be Dr Jim Everett. The PhD You will be primarily responsible for the work package, looking at situations where we
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. This PhD project aims to predict what these gigantic waves look like when they appear in the middle of the ocean, where many nonlinear effects take place, such as Benjamin-Feir Instability, spreading