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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics is looking for a PhD student in computational physics with a focus on understanding
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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materials. The computer modelling of LSP remains challenging due to its multi-physics and multi-scale nature. The dependency of the process on the shape of the laser pulse, its energy, ablation layers etc. is
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an innovative and environmentally sustainable process of copper extraction from concentrates leaching using different glycine leaching systems. The expected outcomes from this project are not limited
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example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value; not be in receipt of any other Top-Up scholarship; be available to commence with CSIRO prior to 30 June
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the test data but this will be limited to an engineering level assessment. To better leverage the testing and to develop more physically based models (increased accuracy / understanding of the limit
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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, artificial gauge fields , Artificial Intelligence , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , astrophysics , Astrophysics (astro-ph) , Astrophysics Computational , Astrophysics
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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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Physical Sciences for Advanced Materials and Technologies (MPHS) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Nicola Fusco Contact e-mail: mphs@ssmeridionale.it 8. Modeling and