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Post Summary The Characterisation & Processing of Advanced Materials Research Group, led by Professor Valeria Nicolosi, is currently seeking a Research Fellow with significant practical experience
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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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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
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software testing and Machine Learning components. This research will have real-world impact through close collaboration with industry partner and offers the opportunity to contribute to cutting-edge
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process (e.g. HRB, SFI, IRC, Wellcome Trust) are eligible for Senior Research Fellow title and appointment. For an information package including full details of the post, selection criteria and application
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Applications must be submitted online via the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating to the online application process should be referred to recruitment@ucc.ie quoting
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miscarriage through a complete process of investigation is crucial for guiding management in and counselling for subsequent pregnancies. There is also a dearth of research on experience of second-trimester
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://ore.ucc.ie/). Queries relating to the online application process should be referred to recruitment@ucc.ie, quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish
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(https://ore.ucc.ie/). Queries relating to the online application process should be referred to recruitment@ucc.ie, quoting the job-title and project name. Candidates should apply, in confidence, before 12
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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