718 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield in United Kingdom
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Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located along
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
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of the system is within the set at some time, then it is guaranteed to remain within the set for all future times. Therefore, being able to characterize and compute these sets is of prime importance when
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Investigators. Participate in mandatory study days. Identify self-training needs to the project site lead. Participate in training courses as required by project site lead. Pursue a suitable programme of academic
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devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. The nodes may be heterogeneous, with varying
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academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. We are a welcoming, international lab group, with current and past students from China, USA, Thailand, South
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
Srour et al. 2025, EMBO Mol Med (https://doi.org/10.1038/s44321-025-00347-8) ElGhazaly et al., 2023, Cell Reports (https://doi.org/10.1016/j.celrep.2023.113181) Ibler et al. 2023, Nat Commun (https
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-performance simulation. Training & Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It
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temperature with ribbon density as the main product quality attribute. Additionally, the computational modelling approach will be exploited as an aiding tool to predict the product quality and eventually