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develop skills in genetic epidemiology, in the analysis of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. The
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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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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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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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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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless