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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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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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. 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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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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). 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