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Field
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algorithm-hardware co-design of adaptive Transformer architectures using ReRAM analog in-memory computing. Using PyTorch and in-house ReRAM characterization data, you will develop reference models and
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as healthcare, cyber-physical systems, and foundation models, including large language models. Depending on the candidate’s interests and background, the project can focus on algorithm design
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development of computational methods for studying complex systems across scales — from molecular structures to climate dynamics. Its research encompasses areas such as program logic and theorem proving
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, proficiency in algorithm development with a focus on optimization via profiling, and a track record of developing software with strong documentation and testing. A portion of this position's time
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. This position at Imperial will lead the experimental development and application of ChemPI under the guidance of Adrian Muxworthy and Dominik Weiss, whilst the numerical and micromagnetic modelling
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data (16S rRNA, metagenomics, or metatranscriptomics) in environmental or biological systems. Computational Modelling: Proven experience in computational modelling, algorithm development, or numerical
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. The fellow will also participate in validation of AI-enabled fetal imaging tools but is not required to have primary expertise in AI algorithm development. Key Responsibilities Conduct research
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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. The research will involve power system and IBR modelling, protection algorithm development, laboratory prototyping, and validation through real-time simulation and hardware-in-the-loop testing on
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transfer.- Programming and algorithm development.- Excellent communication skills and fluency in written and spoken English.- Strong motivation and commitment to work in a collaborative and