39 parallel-and-distributed-computing-"Multiple" PhD positions at University of East Anglia in United Kingdom
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Each year, approximately 6,000 people in the UK are diagnosed with multiple myeloma. Despite advances in therapy, infections remain a leading cause of morbidity and early mortality in these patients
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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will explore the influence of multiple copies of the stx2a toxin gene, investigate the diversity of the prophage that carry the toxin and identify additional genetic factors contributing to HUS. To do
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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sexually antagonistic loci across multiple studies. Validate their effects on sex-specific fitness and traits using CRISPR-Cas9 allele swaps in fruit flies. Probe underlying mechanisms, from gene regulation
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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the field operations of addition and multiplication, raising to a fixed power is the most basic and universal operation in mathematics. However, the model theory of the complex field with fixed (irrational
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biodiversity while protecting wheat from one of the greatest biotic threats to production, the wheat rusts. The individual will: (i) visit Bhutan to characterise the spatial distribution and species composition