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Field
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multidisciplinary fields, participation in academic conferences, experience from scientific publishing and other personal and professional development. The project will be carried out at Luleå University
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performance, and data and product quality. You will join the section in charge of sensor performance, data quality, algorithm development, and calibration and validation (Cal/Val) for the ESA EO missions
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
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algorithms. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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/or experience with reconstruction algorithms for particle physics would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5033-ALEVAL-004/Default.aspx Work Location(s
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specific quantum algorithms. We focus working on interfaces between disciplines in large innovative projects that strive for the development of scalable and useful quantum computers. In a tight integration
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness