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European countries, aims to: enhance understanding of Europe's social economy and identify factors driving its uneven development; evaluate the role of social economy organisations in addressing social
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) team for a two-year research position. Funded by Debra Research, and in collaboration with the University of Bristol, the DEBSS project aims to develop and validate a cooling insole for people with EBS
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of Biomolecular and Biomedical Science. The Chromatin Mechanisms in Disease laboratory (https://conwaychromatinlab.com/ ) at University College Dublin, led by Dr. Eric Conway, are recruiting a postdoctoral fellow
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Investigator. The primary purpose of the role is to deliver research results and objectives, develop new or advanced research skills and competencies, the successful development of funding proposals and to
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degradation, which require collaborative cross-border approaches. This Post-doctoral Research Fellow Level 1 post is funded by the Climate+ Co-Centre (https://www.climatecocentre.org/ ). The successful
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and
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opportunities to attend and present at both national and international conferences, and for continued professional development Salary: Post-Doctoral Researcher (Level 1): €47, 273 (point 1 with increments
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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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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
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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