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technology development project in which UCC collaborates with two companies, Danalto and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband
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. NourishMind is developing novel microbiota-based product(s) for weight maintenance. The technology is supported by a growing body of preclinical and clinical evidence, protected intellectual property, and a
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of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following
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College Cork (UCC) is looking for two highly motivated Post-Doctoral Researchers. The researchers will be employed on a technology development project in which UCC collaborates with two companies, Danalto
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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. The aim of the project is to develop computational models of transcranial ultrasound stimulation of neurons within the deep structures of the brain. The long term aim is the development of new
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process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make
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work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing pharmacogenomic/multiomic markers in clinical practice. This is an excellent opportunity
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a member of the University Executive, the Executive Dean will lead the development of the Faculty, working with key internal and external stakeholders to raise the profile, reputation, and performance
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
partner. The successful candidates will work at the interface of academia and industry, leading research on developing, implementing, and optimizing cutting-edge translatomics techniques (Ribo-seq, Disome