11 biosignal-processing-machine-learning PhD positions at Trinity College Dublin in Ireland
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is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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this pathogen to cause infections, survive attacks by innate immune cells (macrophages and neutrophils), and develop resistance to antifungal agents (see selected publications below). The PhD student will learn
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, physical and human processes operating across very different spatial and temporal scales. Climate change will alter not only environmental conditions but also habitat configurations, population dynamics
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impact The applicant will work with a potential supervisor from TCPHI to develop a robust Research Proposal to be submitted as part of the application process. Trinity College Dublin will charge an
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in addition to the stipend. Application Procedure Informal enquiries are welcome and can be made directly to Associate Professor Camilla Devitt, Department of Sociology at Trinity College Dublin
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under the theme of Nature-based Solutions, the group of PhD students will work together to understand biophysical and socio-economic process for a case study river catchment in Ireland. Each PhD student
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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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child and adolescent mental health, physical health, and health-related behaviours across three climate-sensitive settings: groundwater, urban, and coastal. Application Procedure Applicants should submit