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interpreting MS data with the team. Develop and apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners
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our lab, with applications focused on biodiversity conservation but also spanning human health. The candidate will join a multidisciplinary team focused on accelerating drug discovery with data-rich and
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at prestigious international conferences. The PhD project is part of 15 GRAIL PhD projects Europe-wide out of which 2 will take place at the University of Bergen. More information about GRAIL can be found
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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in computational analysis of omic data-ability to perform statistics, data integration and bioinformatics Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD
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are committed to advancing our understanding the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx
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track record of collecting data on animalbehaviour. Experience of statistical analysis. Evidence of publication record commensurate with stage of career. The ability to work closely with animals and
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multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods for ecosystem health. See https://www.youtube.com/watch?v=W4HxzWaK1Vo . We are a medicinal chemistry lab
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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microscopy. Complete image data analysis to characterize extracellular vesicles. Your qualifications should include: A Ph.D. degree in Cell Biology, Bioengineering, Biophysics, or a related discipline is