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model to resolve wheat planting strategies that can be used to safeguard biodiversity and suppress rust outbreaks. Training You will be embedded in the international and multidisciplinary Saunders Lab
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extending the existing VL dataset. Design and evaluate DL models capable of classifying marine litter types using multispectral data, with a focus on achieving robustness to varying spectral channel
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other at policy-relevant scales, while ‘top-down’ estimates, based on atmospheric measurements and modelling, are hampered by large natural fluxes of CO2 between the terrestrial biosphere and the
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model, human organoid technology, cell and molecular biology, confocal microscopy and metagenomic sequence analysis. By deciphering the interactions between AIEC, the microbiome and the intestinal
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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do
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. For example, anaerobic bacteria culture and human cell co-culture infection models; cell viability assays and cancer invasion and migration assays; ELISA, quantitative PCR, DNA damage assays
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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution