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Linguistics, Analytics, Search, and Informatics Documented opensource contributions Experience with NLP/deep learning frameworks such as pytorch and tensorflow Experience with NLP state-of-the-art models and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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computational modeling and simulation to evaluate how data center demand affects electric grid reliability, resilience, and operational flexibility under various growth and climate scenarios. • Life-Cycle and
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start: April/May 2026 and will last for four years, which is a standard period of a doctoral programme at FSci USB (https://www.prf.jcu.cz/en/study-at-the-faculty/information-for-phd-students ). salary
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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on optimising the QML algorithms, e.g., minimising qubit requirements, reducing pilot overhead and training data size, reducing channel data dimension, and improving the computational footprint and model
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Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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or TensorFlow. Practical background in training and validating models on GPU-based and distributed computing environments. Working knowledge of containerization tools and orchestration platforms (e.g. Docker
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7 May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large