18 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in Ireland
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interdisciplinary research Enthusiasm and willingness to learn new techniques are more important than existing specialisation in the glycosciences. LanguagesENGLISHLevelExcellent Research FieldChemistry » Organic
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. PhD Project Description Project Title: Photonic-Inspired Federated Learning for Communication-Efficient Next Generation Radio Access Networks (NG-RANs) Description: This PhD project will develop a novel
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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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scientific & clinical graduates. Candidates must meet the PhD entry requirements for TCD or RCSI as outlined in the links below. https://www.tcd.ie/study/apply/admission-requirements/postgraduate/ https
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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Centre for Sociology Of Humans And Machines (SOHAM), joint between Trinity College Dublin and TU Dublin. SOHAM’s team is interdisciplinary, diverse, welcoming and performing cutting-edge quantitative
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College DublinCountryIrelandGeofield Contact State/Province Co. Dublin City Dublin Website http://www.ucd.ie/civileng/ Street School of Civil Engineering, Newstead Block B Postal Code D04V1W8 E-Mail
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. Quantitative, computational, or mixed-method approaches are particularly encouraged, including but not limited to geospatial analysis, machine learning, predictive modelling, and causal inference techniques
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. There will be a requirement to teach in undergraduate laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Applying first-principles and machine