316 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "Babes Bolyai University" Postdoctoral positions in United Kingdom
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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Biomedical Campus. You will join an exciting research programme investigating novel aspects of viral sensing and the function of key uncharacterised viral evasins. This post will involve the use of cutting
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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
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a project investigating prehabilitation for cancer populations in collaboration with the Cancer Treatment Outcome Programme at the Country Durham and Darlington NHS Trust. Prehabilitation means
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the Department of Paediatrics as our Postdoctoral Researcher in Nanomedicine and Synthetic Biology. You will play an important role in the development of next-generation programmable delivery systems for nucleic
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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device technology. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the European Innovation Accelerator, part of Horizon Europe, programme CoolbrAIn
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industrial partners spanning the semiconductor supply chain. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the ESA programme S2CANT, the EPSRC
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational