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Field
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text analysis and network analysis to examine processes of recognition, inclusion and justice in educational contexts. Z03 establishes a methodological infrastructure that integrates algorithmic
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Description The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related
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due to the complex interplay between the dispersed gas phase, the continuous liquid phase, and the evolving interfaces between them. The candidate will conduct a series of experiments designed
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning, or matrix factorization, is an advantage. Experience with management and analysis of large datasets
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bottom up, whether it's code or biological structures. Requirements: A Master’s degree in Computational Science, Biomedical Engineering, Biophysics, Physics, Applied Mathematics, or a related field; Strong
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). Additional project costs will also be provided. Overview Bone regeneration relies on more than bone growth; it depends on a complex dialogue between immune and skeletal cells. When this communication falters
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an advantage but is not a pre-requisite. • You will conduct polymer synthesis and characterization in dispersed medium and in solution, handle complex instruments, perform detailed data refinement and
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There exists an inherent variability in how lithium-ion batteries fail – an event commonly referred to as “thermal runway”. This uncertainty drives additional cost and complexity into the design and