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processing. The project which funds this position focuses particularly on the interplay of strong correlations and geometric fluctuations in quantum materials, notably in systems displaying the fractional
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, which has a focus on topologically ordered phases of condensed matter systems, as well as their applications to quantum information processing. The project which funds this position focuses particularly
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the Medical Mycology Unit, Department of Biology, Maynooth University working under the supervision of Prof. Kevin Kavanagh. The position is for 12 months and will commence on 1st October 2025. The primary role
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Department: Innovation Value Institute Services Vacancy ID: 036723 Closing Date: 12-Aug-2025 We are seeking to recruit a Post-doctoral researcher or a Senior Post-doctoral researcher to contribute to the development of a state-of-the-art population-based analytic data system that serves multiple...
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on topologically ordered phases of condensed matter systems, as well as their applications to quantum information processing. The project which funds this position focuses particularly on the interplay
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application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Friday 29th August 2025. No late
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https://ore.ucc.ie/ Queries relating to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12
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well as their applications to quantum information processing. The project which funds this position focuses particularly on the interplay of strong correlations and geometric fluctuations in quantum materials with
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ERC supported staff and students**.** Funding Information HMI, Simon Foundation, ERC research grants. Application Procedure Applicants should submit a full Curriculum Vitae to include the names and
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: • Gathering and analysing data for the installation, operation, and maintenance (O&M), and decommissioning of selected fixed and floating offshore wind farms. • Utilizing and enhancing existing simulation tools