60 parallel-and-distributed-computing research jobs at University of Cambridge in United Kingdom
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. The start date is 1 October 2025. The Smuts Research Fellows will be expected to carry out an approved programme of research relating to South Asia, to participate in the life of the Centre, and to contribute
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of purpose which describes (a) the programme of research that the candidate intends to pursue during the fellowship; (b) how the research might connect with the work of current college fellows; and (c
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution-orientated and self-motivated. Excellent interpersonal
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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organise and support the programme of Law-related enrichment events, including moots, mock exams, seminars, and study-related activities. To undertake College administrative duties as required by
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experience in computing and flow-synthesis would be highly advantageous. The project is due to start in April 2025. Appointment at the Research Associate level is dependent on the award of a PhD. Those who
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cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution
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projects simultaneously including coordinating with other group members and collaborators. Additional expertise in computational, solid state, photophysical, electrochemical characterisation, device
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation