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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 7 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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System Integration: Develop and validate software architectures that integrate SLMs with Big Data frameworks to handle large-scale diagnostic data Optimisation: Implement techniques for model compression
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of the University’s transformative Leading Edge Curriculum project. Promote the modelling capabilities of timetabling data to inform University decision making of future space optimisation. Provide expert data analysis
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research assistant for his ERC-funded research project. The chosen candidate will build and operate large-scale data collection pipelines from web sources (full details in sections below). Job location
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new enterprise systems, digital services and significant investment in cyber security and infrastructure. We are looking for a proven IT leader with experience of managing large, complex technology
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) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers. Contact information For more information about the position, please
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Assistant/Associate to join a large, multidisciplinary team working on the EQuIP-IN study (Enhancing Quality of Life Through Innovative Social Care Pathways for Independent Bathing). This is an exciting
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and evaluate the effectiveness of technical services through stakeholder feedback and performance data, using insights to drive continuous improvement and inform workforce planning and succession
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. Please state your desired working arrangements in your application. Further information can be obtained by contacting the theme co-lead Simon Hackett simon.hackett@newcastle.ac.uk Find out more about the
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the project uses large-scale social media data to measure the extent of secondary victimization in high-profile cases of gender violence. Then, using administrative crime data, the project estimates the causal