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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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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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for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Physical Demands
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Choksi lab includes physician-scientists, basic scientists, and other trainees at different career stages, this position offers an excellent opportunity to learn from experts in a collaborative and
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contribute to troubleshooting and optimization of experimental systems. Basic Qualifications: Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical
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optimizing compilers, the classical and quantum fragments are separated in efficient implementations adapted to the changing QPUs and GPUs architectures. The candidate will work at the intersection
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an optimization workflow to maximize overall aerodynamic efficiency. The generated winglet shapes are expected to be analyzed in different CFD solvers and optimized using an existing gradient-based optimization
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considering different operating points. Develop power-hardware-in-the-loop (P-HIL) based symmetric and asymmetric grid-fault models, wind turbine mechanical models and Battery Energy Storage System models
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the design, synthesis, and characterization of porous materials to control the release of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer