327 data-"https:"-"https:"-"https:"-"https:"-"University-of-Ostrava" Postdoctoral positions in United Kingdom
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
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clinical translation in head and neck health. FoDOCS integrates expertise across bioscience, biomedical and optical engineering, clinical practice, and data science, enabling seamless translation from
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information can assist in imagining landscapes changing in response to environmental, societal and technological drivers. This project aims to explore how to combine these approaches so they can be used
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national biodiversity indicators with international impacts. You will have advanced skills and knowledge of statistical analysis, research computing and Geographic Information Systems in relation
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qualitative data into biodiversity reporting. Review social and ecological impact assessment practice and co-design a conceptual hybrid metric system aligning the needs of corporate standard-setters with rights
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work needed to fully understand this magmatic system and
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen