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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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Structure preserving discretization and learning Numerical implementation of derived models Interact with the members of the research group Two or more papers to be submitted in international Journals Report
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in the design of methods and instrumentation for medical diagnostics and therapy based on the interaction of electromagnetic fields with biological tissues, with a strong emphasis on the use of non
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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controlled source EM data Interpretation of the modelling results in a geoscientific context New and further development of numerical methods in EM Presentation and publication of results, participation in
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pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
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for: Demonstrated proficiency with MS Office suite software, such as MS Word, Excel and Powerpoint, as well as Google applications such as Gmail, Chat and Hangout. Excellent numerical skills with the ability
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to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models. This project tackles
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of various custodial materials, equipment, methods and procedures used in maintaining a clean, neat and orderly building Work is spot-checked frequently and reviewed by observation for neatness, cleanliness
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-based methods, to extract meaningful insights from multi-modal cancer imaging data across PET, MRI, and Photon-Counting CT. You will develop strategies to analyse large datasets of 3D images to aid in