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Field
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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transcription factors and the role of histone regulation in driving disease. We will explore novel strategies to target the chromatin landscapes using innovative gene therapy approaches. You will build on our
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work and attendance at international conferences, such as the European Geothermal Congress
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you Candidates with experience in molecular mycobacteriology, Crispr-Cas technology, drug target discovery and target validation, assay development, cellular and animal models of tuberculosis infection
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through forward modelling of simulation data using coronal lines, individual or statistical studies of waves in the solar atmosphere through observations, applications of Bayesian statistics to solar data
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demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities.3) Demonstrated experience in Bayesian or other statistical approaches, and
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-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection, prognosis, and predictive responses to chemotherapies and targeted drugs. Studying the genetic and