275 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Paraspeckle condensates in cell health, stress and disease - what can structural studies tell us? School of Medicine and Population Health PhD Research
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. More info can be found at: https://www.sheffield.ac.uk/dcs/people/academic/jefersson-alex-dos-santos About the School & Research Group The successful candidate will join the Computer Vision group in
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BBSRC Yorkshire Bioscience DLA Programme - ER Phone Home: Defence Signalling from the Endoplasmic Reticulum to the Cell Wall. School of Biosciences PhD Research Project Competition Funded Students
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BBSRC Yorkshire Bioscience DLA Programme: Signalling complexes and cell wall changes during plant reproduction School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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supporting materials and quote “[S3.5-COM-CChen2] - Your Current Programme – Name”. E.g, “[S3.5-COM-CChen2] - MSc-University of XXX–Chen Chen” in your email subject. About the main supervisor, Dr. Chen: https
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et al. Scientific reports. 2021. https://doi.org/10.1038/s41598-021-99065-7. 2. Taylor DJ et al. Computers in Biology and Medicine. 2024. https://doi.org/10.1016/j.compbiomed.2024.108299 View
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+ Interview) Experience in computational methodologies (DFT – QM/MM) (Application + Interview) A strong interest in cross-disciplinary research at the physical science/polymer chemistry interface (Interview
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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics