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writing) within the project. Funding Information This post is funded by the EU EIC project HYPERSONIC Person Specification Qualifications Essential Qualifications: PhD in Physics, Materials Science
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series data from pre-conflict environments (both interstate and civil war) and apply recent machine learning techniques to forecasting the onset of these events. Application Procedure Candidates should
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the PI with a team of PhD students to establish and optimise robust synthetic methodologies based on DES systems; carry out in-depth structural, photophysical, and electrochemical characterisation
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in electrochemistry and battery research. The candidate will have a PhD in Physics, Chemistry, Materials Science or a related discipline, or equivalent experience, with significant postdoctoral
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excellence in education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Trinity College Dublin - an introduction Background Synthetic hEalthcare dAta goveRnanCe
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excellence in education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Trinity College Dublin - an introduction About the Role SEARCH (Synthetic hEalthcare dAta
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prepared based on the findings with a focus on facilitating the replication at city and national levels. Each bike will be instrumented with GPS sensors to understand preferred cycling routes. The data will
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functions; establishing processes for long-term sustainability of analyses that work towards near ‘’real time’’ data analytics; and setting the stage for Ireland to take its place in the global discourse
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Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and