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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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related dissemination activities for the public and schools. MSc in Microbial Technology or equivalent field. Extensive experience in bacteriocin purification and antimicrobial activity analysis. Strong
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, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with examining
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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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record, appropriate to their career stage. Candidates should have experience in modelling and simulation of wireless Time Sensitive Networks, especially using 5G radio technology, based on recent IEEE and
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of the research group is to model genetic diseases using gene editing tools such as CRISPR/Cas9 to gain a better understanding of the mechanisms at play and to find alternative treatments. Based on previous work in
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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-Doctoral Researcher. At a minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have
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will provide the justification, and inform the appropriate dosing regimen, for future human clinical trials. The primary focus of the research group is to model genetic diseases using gene editing tools
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developed by the Offshore Renewable Energy group to model project scenarios. • Collaborating with team members to adapt simulation tools based on project needs. • While primarily contributing to the IDEA-IRL