26 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" scholarships in Ireland
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, University College Cork. The Bacteria & Cancer theme, led by Mark Tangney, involves the study and/or and application of bacteria in cancer settings https://www.ucc.ie/en/cancer-research/people/mark-tangney
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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Description Overview: A fully funded studentship opportunity is available with Prof. Joanna McGouran at Trinity College Dublin (http://joannamcgouran.wixsite.com/mysite ). The project is in the field
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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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for additional job details https://www.hoeylab.com/vacancies Work Location(s) Number of offers available2Company/InstituteUniversity of Dublin, Trinity CollegeCountryIrelandCityDublinGeofield Contact City Dublin
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familiar with the publication process. To acquire generic and transferable skills (including project management, business skills. To engage in the wider research and scholarly activities of the School
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Centre for Synthesis & Chemical Biology, University College Dublin | Dublin Bar, Leinster | Ireland | 5 days ago
like further information on the project or any other aspect of the position. Further information on the research group can be found at https://byrnechemistry.wordpress.com/ . Where to apply E-mail
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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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Further information on the Walsh Scholars Programme is available at: https://www.teagasc.ie/about/research-innovation/the-walsh-scholars-programme/about-the-programme/ and queries relating
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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