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under the Department of Enterprise Trade and Employment's (DETE) Disruptive Technology Innovation Fund (DTIF). This new initiative brings together seven innovation-intensive SMEs with UCD to develop
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. The successful candidate will contribute to the development of predictive numerical models and experimentally validated designs for intricate mechanical assemblies, deployable structures, compliant mechanisms, and
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CERN. the CERN Collaboration and develop theory, simulations, and AI tools for application to data from the LHC and future colliders. https://doi.org/10.1051/epjconf/201919901022 - Central exclusive
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phenotype/function during bone repair and harness this information to develop novel strategies to modulate inflammation and promote repair. This will be achieved by determining the impact of loading within
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
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Environmental Footprint - OEF; Product Environmental Footprint - PEF), integrating Data Quality Rating (DQR) methodologies, and developing CSRD-aligned key performance indicators (KPIs). In addition
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developmental language disorder (D)LD. To do this we aim to develop a set of internationally accepted reporting guidelines that will a) specify the intervention characteristics, participant characteristics and
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maximum benefit for children with or at risk for developmental language disorder (D)LD. To do this we aim to develop a set of internationally accepted reporting guidelines that will a) specify the
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, where seamless exchange of molecules is necessary for implant function. Our research group have developed a novel platform which actuates (inflates and deflates in a controlled manner) to interfere with
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or assisting with the planning and execution of workshops, seminars, meetings, and webinars • Helping in the development of funding applications to address emergent research