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development. To integrate the image processing pipeline in a modular way, building on algorithms developed by your colleagues. To optimize performance and throughput and use software engineering best practices
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through onboarding on HPC systems; porting, debugging and optimizing code; troubleshooting and providing general assistance in using HPC systems; training faculty and students on use of HPC resources and
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through onboarding on HPC systems; porting, debugging and optimizing code; troubleshooting and providing general assistance in using HPC systems; training faculty and students on use of HPC resources and
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-fields of Operations Research and Statistics, including Data Science, Optimization, Statistics, Analytics (including applied Machine Learning and AI), and/or Operations Research broadly construed. We
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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that it offers; (d) ensure optimal deployment of human, financial and other resources in the Centre; (e) represent the Centre to liaise with the Centre’s stakeholders for the planning and delivery
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gathering indicators of esteem. 5. Oversee the installation, calibration, and maintenance of instrumentation for the test facilities to ensure optimal performance, expand capability and support
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and adaptability. This research project aims to pioneer the next generation of recommender systems by moving beyond static methods. The core of this PhD is to develop a generative multimodal recommender
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optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible
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further strengthening the group’s national and international standing. In addition, you will contribute to high-quality education at the BSc, MSc, and PhD levels and help drive innovation in teaching