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, software virtualisation, Cloud-RAN, Network Functions Virtualisation (NFV), and Software Defined Networking (SDN) technologies (including OpenFlow and Netconf) to support the experimental investigation
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature
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, DCU, DkIT, MU (lead) and UCC, with education technology providers to develop an innovative approach to teach students in the experimental sciences. The initiative is to develop courses in which a
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, implementation, and evaluation of experimental eco-engineering structures across three European study sites. The successful candidate will be expected to undertake the following: • Lead and contribute
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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on scaled physical testing of offshore renewable models. Operating the wave tanks and associated experimental equipment as well as setting up the model is part of this job. The successful candidate should
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well as expertise in the handling of gases in flow and static cells. Ideally, the candidate will have experience in atmospheric trace gas sensing, outstanding experimental, engineering and IT skills. Previous