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theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements. Research Associate: Hold a PhD in applied computational
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processes and systems. A background in handling complex scientific data, trial monitoring, or electronic Case Report Forms (eCRFs) would be advantageous. Communication & Collaboration: Excellent interpersonal
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- Ensuring all relevant information on the IP Due Diligence of a case is captured and recorded and that the process is completed prior to assignment of IP - Maintaining a close relationship with the IPC teams
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enabling Imperial’s REF 2029 submission, working across ICT, Planning and Insight, faculties, the library and data teams to ensure systems, processes and data align to REF requirements. The role will support
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, please contact Professor Richard Craster: r.craster@imperial.ac.uk Queries relating to the application process should be directed to Sorina Damsa (Executive Assistant and Operations Coordinator): s.damsa
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their regulators in colorectal cancer. This position is funded as part of a UKRI Future Leaders Fellowship ‘Targeting hydrolytic enzyme activities to understand, treat and prevent colorectal cancer
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with job applications, interviews, and other selection processes. Using Data to Guide Career Development Activities: Collect and analyse data on students’ career needs and outcomes to inform and
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distribution, compliance, and dynamic airway collapse Coupling airflow simulations to alveolar gas transport, diffusion, and blood-gas barrier transfer processes Integrating imaging-derived features with