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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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cosmolgy, galaxy evoltion and stellar astrophysics. Students in my group primarily perform numerical simulations of stars, in order to study broad questions related to the origin of the elements in
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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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research experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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earthquake, will be investigated through a combination of experimental, numerical, and analytical studies. This scholarship application is open until filled. Student type Future Students Faculties and centres
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include
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selection of the most optimal medical therapy. Predictors of response to the current arsenal of treatment are paramount to achieve endoscopic and histologic healing, reduce disease complications including
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: Associate Professor Ankush Sharma (IITK) Smart grid is an interconnected cyber–physical system with advanced technologies of fast communication and intelligence, which however is prone to numerous