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’ training needs and existing care pathways. The PhD student will also use existing longitudinal data to investigate the impact of accessing versus not accessing mental health support, on children and parents
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
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. In this project we will study the functions of the rare coding variants using zebrafish and compare the results with mouse models of equivalent mutations and human post-mortem brain tissue
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, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and landscape connectivity
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investigate the wildlife connectivity potential of tree-based agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within
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post is filled. Informal inquiries can be made via email to Dr. James Rouse ([email protected] ). Eligibility: Due to funding restrictions this position is only available to UK or EU
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applications. The research project aims to explore the integration of 2D materials, such as graphene and post-graphene structures, into PFAS-free formulations to develop multifunctional coatings for porous
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healthy despite being at high genetic risk of dementia? This project will use cutting-edge genetic and molecular data from large human biobanks to identify molecular factors that help protect against
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
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in the literature, with a particular emphasis on the ‘mortar’ method in BISON. Validation against experimental data and benchmarking against other codes reported in the recent OECD ‘Pellet-Cladding