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Procedure Applicants should submit a letter of interest, curriculum vitae, copies of certificates, and names of up to three academic references as a single PDF file by e-mail (subject line: ASP2025-1
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nanophosphors; and other target materials, e.g. quantum dots or magnetic nanoparticles; and exploring and exploiting DES tuneability to control nanoparticle production and properties. The functionality
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) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
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English) that shows your analytical and writing skills in law or a related discipline. via email to: ● Dr Christiane Ahlborn (ahlbornc@tcd.ie) and Dr Ghaiath Hussein (husseing@tcd.ie) before
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to combine this opportunity with full-time work elsewhere. The School particularly welcomes applications from groups that are underrepresented in doctoral study and/or their field of Law. The School has a
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. Candidate profile: Applicants should hold or expect to receive an upper 2.1 or 1.1 degree in a relevant discipline. A cell biology/molecular biology/genomics background is essential. Training will be provided
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systems able to make extremely high time frequency images of roots in situ in the field (https://doi.org/10.1093/jxb/erac427). The entire, multi-person project will interpret the dynamics of root properties
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degree in Classics, Medieval History, Celtic Studies, or a cognate discipline that broadly aligns with the subject of research Excellent knowledge of Latin (Classical or Medieval) Ability to write well in
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. Please submit these documents as a single pdf. Please include “PhD Application (Interpretable Machine Learning)” followed by your name in the subject line. The application CV should, at minimum, include
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to psychology@ul.ie with the subject ‘PhD Studentship Application’. The expression of interest document should be submitted in Word (.doc or .docx) format and should be no more than two pages. The applicant