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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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multidisciplinary team Evidence of strong communication and scientific writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research
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presentations at academic meetings and track record of publications in peer-reviewed journals and/or preprints) Excellent organisational skills, academic integrity, and rigor * Please note that this is a PhD
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phase peptide synthesis. Demonstrated track record of high-quality research, as evidenced by publications in reputable journals. Excellent communication skills and experience of writing up research
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meetings and track record of publications in peer-reviewed journals and/or preprints) Excellent organisational skills, academic integrity, and rigor Desirable criteria Experience in fluorescence microscopy
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independently and make original contributions to research. A track record of first-author and collaborative publication in high-quality journals or conferences, including in quantum computing literature
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CURE’s overall objectives Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI,[1] based
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track record of method development in statistical genetic and the ability to manage your own academic research and associated activities are essential. A medical qualification and experience of analysing
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simulation software to study interactions. Applicants must demonstrate a track record in applying such approaches including a relevant Ph.D./DPhil and experience. Applicants must also be confident in using