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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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research environment. Access to state-of-the-art equipment and facilities. Member of the integrated Research Training Group for dual mentoring, comprehensive doctoral training program, weekly seminars
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of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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: $34,002 paDeadline: 31 August 2025Start date: after 1 January 2026Candidate Requirements• A first-class Honours or Master's degree in Physics, Geophysics, Computational Physics, or a related discipline
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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and advanced material design and fabrication. Through this multidisciplinary project, the student will develop expertise in: Hands-on experience with advanced computational physics and materials
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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use of HPC for numerical computations Good background in Wave physics Good oral and written presentation skills in Norwegian/Scandinavian Personal characteristics To complete a doctoral degree (PhD), it
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neurodegeneration. The RA will work closely with Dr. Stephanie Zande, Dr. Simon Thebault, lab members, and external collaborators to process, analyze, and interpret large-scale transcriptomic, single-cell, and