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programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=FR167D&code2=0005
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research. Specific multidisciplinary skills include: synthetic chemistry, structural molecular biology and advanced imaging; it will harness cutting edge computational tools (incl. image analyses), giving
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The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
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is part of a wider programme of work led by Professor Michael Jenkinson and the Royal College of Surgeons for England (RCSEng) Collaborative. This collaborative includes Royal College of Surgeons
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is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected. References: 1. Osman J, Higgins JD, Sanchez-Moran E, Armstrong SJ
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to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected.
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Theoretical models for gravitational wave signals emitted by coalescing compact binaries are the cornerstone of modern gravitational wave astrophysics. Among the most pressing challenges for the next generation of models is the detailed treatment of spin precession and orbital eccentricity....
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
university, please follow this link, make an account, and submit an application via the university online admissions portal (via the above ‘Apply’ button). This link is unique to the MIBTP programme; please do
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this link, make an account, and submit an application via the university online admissions portal (via the above ‘Apply’ button). This link is unique to the MIBTP programme; please do not use any other link
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ODEs with convergence guarantee and uncertainty quantification,” Mathematics of Computation, Jun. 2025, doi: 10.1090/mcom/4120, https://arxiv.org/abs/2404.19626 C. Offen, S. Ober-Blöbaum, “Learning