23 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" PhD positions at University of Birmingham
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                our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically 
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                scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits 
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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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                . For UK applicants: apply through MIBTP only (https://warwick.ac.uk/fac/cross_fac/mibtp/phd/ ). For non-UK applicants: email Dr Kettles to discuss most suitable program. References: Uehling et al. PLoS 
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                ). Funding notes: For details of the MIBTP project and programme, visit https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/SSmerdon/#molecular_shape-shifting Eligibility and further details 
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                : To apply, 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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                click the above 'Apply' button, make an account, and submit an application via the university online admissions portal. This link is unique to the MIBTP programme; please do not use any other link 
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                (y.chen.22@bham.ac.uk ). Funding: The project is available through MIBTP funding program. For more details, please see: https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/ychen References: Shropshire 
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                candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven 
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                The global infrastructure landscape is dominated by ageing assets, many of which were not designed with today’s loading and environmental challenges in mind. Extending the service life of existing structures has become a vital strategy for minimising the environmental and economic costs...