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, epidemiology, biostatistics, machine learning or a closely related quantitative discipline. Strong knowledge of analytical methods relevant to epidemiological and biomedical research, including machine-learning
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, School of Medicine is looking for a talented postdoctoral fellow with strong analytical and problem-solving skills. This position offers an opportunity to work on translational research projects in
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proven experience undertaking field-based research in coastal environments strong publication record relative to career stage excellent quantitative, analytical and scientific communication skills ability
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at high powers. The project is a collaboration between Southampton, led by Professor Charlie Ryan, and Oxford, led by Professor Dmitri Uzdensky. Oxford will develop the theoretical and analytical basis
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independently and collaboratively in multidisciplinary research teams. Strong analytical, problem-solving, teamwork, and written and verbal communication skills. Proactive, self-motivated, and willing to learn
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cancer. The scope of the research may entail clinical trials, microbiome work, various analytical techniques, and scientific laboratory skills in collaboration with scientists across Imperial College and
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, evidenced by publications in peer-reviewed journals. Experience in reaction development, multi-step organic synthesis, mechanistic studies and analytical characterization techniques (e.g. NMR, MS, HPLC
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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coastal environments strong publication record relative to career stage excellent quantitative, analytical and scientific communication skills ability to work independently and collaboratively within
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analytical techniques. Conduct stakeholder interviews, workshops and other qualitative research activities. Analyse complex datasets and multiple evidence sources to generate actionable insights. Develop