17 data-visualization-analysis "https:" Fellowship positions at Trinity College Dublin
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Post ID: 039437 Post Summary**:- The Research Fellow will provide scientific and analytical expertise across the DISCeRN project, with a primary focus on the analysis and integration of social
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researchers in materials science and industry. More information can be found at http://ambercentre.ie About the Trinity Centre for Biomedical Engineering (TCBE): TCBE is a key research centre in Trinity College
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. With Professor Cusack and the team, the postholder will participate in the full process from setting up awake infant fMRI, experimental design, data acquisition, analysis, computational modelling
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specification • Details of two referees(including email addresses) Closing Date:Friday 25th September at 12:00 noon (Irish Standard time) Please see the Job Description below for further information
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. With Professor Cusack and the team, the postholder will participate in the full process from setting up awake infant OPM-MEG, experimental design, data acquisition, analysis, computational modelling
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Engineering, Biomechanics & Mechanobiology, Tissue Engineering & Regenerative Medicine. More information on TCBE can be found at https://www.tcd.ie/biomedicalengineering Application Procedure• Applicants should
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prescribing. Experience in survey data analysis and/or qualitative data analysis, and a background in healthcare is desirable but candidates will be considered on the merits of their overall experience and
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September 2026 or shortly thereafter. The successful candidate will have a background in quantitative sociology or related social science with demonstrated experience in comparative and / or longitudinal data
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, identify any areas for enhancement and undertake a needs analysis, to propose recommendations for the future. The post-holder will contribute directly to this work with Project Leads, Academic Secretary and
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of Dublin, Trinity College, is seeking to recruit a postdoctoral researcher in a multi-disciplinary, industry facing project on computational analysis, design and optimisation (including experimental