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) at Trinity College Dublin is seeking a PhD student to explore the influence of topology in designing & operation of distributed quantum networks. The candidate will be part of the Marie Skłodowska-Curie Action
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
hybrid combinations to boost outgoing pulse power and enhance backscatter detection while maintaining low noise, low distortion, and stable system operation. A key innovation is the exploration
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available, including high-parameter flow cytometry, confocal imaging, histopathology, metabolomics, single-cell sequencing, and bioinformatics support. Terms & Conditions: €25,000 annual stipend plus academic
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to the application process can be emailed to walshscholarships@teagasc.ie University Website https://www.setu.ie Application procedure To apply for this position, log in to the Teagasc online application portal and
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, including a laptop. Key Objectives Develop and implement AI-assisted fault detection and diagnostics methods for industrial equipment and processes, including data-driven and hybrid (physics-informed
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the molecular features of marine polysaccharides that underpin this process. Project Description Marine algae produce complex polysaccharides (glycans) that play a poorly understood but potentially critical role
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operation levels, engaging centrally and collaboratively within Trinity Global. They will manage all Trinity Global scholarships, bursary and supports initiatives liaising with the relevant offices, units
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socio-economic constraints. https://www.eu4greenfielddata.eu GreenFieldData will mobilize 14 Doctoral Candidates (DCs) enrolled in Double Degree Doctorate programmes with 12 academic main beneficiary
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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/
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, including but not limited to fatty acid production, biostimulants, nutrient recovery, novel feedstock pretreatment methods, and integrated processes for enhanced product recovery. The PhD project is part of