699 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Caltech" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: How does the Oestrogen receptor globally regulate transcription across the genome during development? School of Biosciences PhD Research Project Competition
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BBSRC Yorkshire Bioscience DLA Programme: Convergence or divergence? Evolution of phagocytosis molecular mechanisms in animal macrophages School of Medicine and Population Health PhD Research
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ACCE+ DLA Programme: The impact of climate change on sexually selected traits and its consequences for evolutionary fitness School of Biosciences PhD Research Project Competition Funded Students
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mechanisms for apicoplast DNA compaction. In this collaborative, inter-disciplinary project, we will use cryo-EM (Lahiri lab https://sites.google.com/sheffield.ac.uk/lahirilab/), NMR (Willamson lab https
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lab https://sites.google.com/sheffield.ac.uk/lahirilab/) with structural bioinformatics (Chaudhuri lab, https://www.sheffield.ac.uk/biosciences/people/academic-staff/roy-chaudhuri) and plant genetics
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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consists of 6 members of academic staff, together with 12 PhD students and several postdoctoral researchers. We are a friendly and welcoming group, with an active programme of seminars and a journal club
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ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
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ACCE+ DLA Programme: The inheritance of phenotypic plasticity in a wild mammal School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof J Slate, Dr Nicola Nadeau, Prof
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skill via an intrinsic reward. Science Advances, 10(13), eadj3824. https://www.science.org/doi/full/10.1126/sciadv.adj3824 Durstewitz, D., Koppe*, G., & Toutounji*, H. (2016). Computational models as