14 parallel-processing-bioinformatics-"Multiple" Fellowship positions at Trinity College Dublin in Ireland
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used to improve network resilience, fault detection, and provide novel services such as multiple types of environmental monitoring. However, to fully harness these capabilities, networks also require
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that influence this process, such as leaf area, surface texture, trichome density, and leaf angle. By linking these traits with air quality data, the project aims to provide actionable insights for urban planning
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, in addition to, optimisation of data processing and statistical analysis pipelines and writing of custom MATLAB scripts for signal analysis. Prior experience in neuroimaging and/or electrophysiology
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experience) Closing Date: 12 Noon (GMT), 6th February 2026 Application Procedure Applicants should submit a full Curriculum Vitae, a one-page cover letter and research proposal to:- Prof. Nathan Hill
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point in line with Government Pay Policy (Level PD1 or as commensurate with experience) Closing Date: 12 Noon (GMT), 6th February 2026 Application Procedure Applicants should submit a full Curriculum
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January 2026 Application Procedure Applicants should submit a full Curriculum Vitae and a one-page cover letter and include the names and contact details of 2 referees (including email addresses), to:- Prof
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consideration for a post. Hours of Work: 37.5 hours per week Closing Date: 12 Noon (GMT), 1st December 2025 Application Procedure Applicants should submit a full Curriculum Vitae to include the names and contact
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/ PD2) Closing Date: 12 Noon (GMT), 30 January 2026 Application Procedure Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email addresses
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. Application Procedure Applicants should submit a full Curriculum Vitae (pdf format) to include the names and contact details of 2 referees (including email addresses), to:- Name: Aideen Long, Professor
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researcher’). The candidate will be given the opportunity to work on applying and further developing Natural Language Processing (NLP) tools for low-resource, endangered languages, in particular, the Gongduk