1,124 software-defined-networking Fellowship positions in Ireland-University-Ranking-2024
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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of robust and efficient software to contribute to our experimental work in automated cars. About the Role The successful candidate will contribute to the delivery of high-quality research in automated vehicle
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across the project, with a particular focus on Work Package 3, which explores how social networks and schooling shape individual outlooks. This work will involve analysing large-scale social network data
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To support the UrbanHeatMap project, which aims to develop scalable, high-resolution ambient temperature mapping methods by integrating outdoor microclimate measurements, mobile sensing data, satellite-derived land surface temperature, and urban morphology information. The Research Assistant...
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UiO/Anders Lien 1st August 2026 Languages English English English PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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air temperature maps • Develop and train Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) architectures to model complex spatial and temporal dependencies in urban microclimate data