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. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
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. Testing the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate
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relocation programme Diversity Diversity is a resource in the working and learning environment at UiS. When we have different backgrounds and experiences, we can approach challenges from multiple perspectives
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GFM grid code specifications to serve as input to the control design routine. A data-fusion approach to synthesize heterogenous data from different sensors and associated databases to form an optimal
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, including bp, EDF, Equinor and Shell, working to ensure a sustainable CCUS industry at scale. The overall goal is to ensure that the transport infrastructure is capable of handling CO2 streams at different
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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Join the forefront of groundbreaking research at City of Hope where we are changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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Applicable Hours Per Week 35 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 182881 Is the Job related to staff
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programme Diversity Diversity is a resource in the working and learning environment at UiS. When we have different backgrounds and experiences, we can approach challenges from multiple perspectives and find