13 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" "Dr" positions at University of Birmingham
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Industry PhD Scheme, and University of Birmingham, with the project being industrially co-supervised by Dr Andy Corbett and Dr Cyd Cowley from digilab. References: https://doi.org/10.1016/j.matchar
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role model and fostering an inclusive working culture. Informal enquiries to Dr Beadling (a.r.beadling@bham.ac.uk ) or Prof Bryant (m.g.bryant@bham.ac.uk ). Where to apply Website https://edzz.fa.em3
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Week 37.5 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 106920 Marie Curie Grant Agreement Number 10122660 Is the
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@bham.ac.uk ) and Dr Rob Beadling (a.r.beadling@bham.ac.uk ) Where to apply Website https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6001/… Requirements Research
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Health (GGH) initiative is a four-year, Gates Foundation–funded programme led by Dr Claudio Fronterre and Prof Emanuele Giorgi at the University of Birmingham, in partnership with the Neglected Tropical
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, Criminology, Social Policy, Computer Science/Mathematics. An MSc degree in a relevant area is desirable though not necessary. Previous experience with quantitative and qualitative data, particularly within a
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Dr Keeler's personal page https://www.birmingham.ac.uk/staff/profiles/maths/keeler-jack Funding notes: This project is directly funded, through the School of Mathematics for a suitably strong candidate
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically
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loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational, patient-specific design and additive manufacturing
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loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational, patient-specific design and additive manufacturing