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, algorithms, and applications’, Information Fusion, 81, 2022. [2] A. Z. Wang et al, ‘Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis’, IEEE Trans. Visual
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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mapping algorithms for governments in Sub-Saharan Africa. The PDRA will contribute to development of machine and deep learning mapping algorithms in one of the IrrEO’s case study countries (Nigeria
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to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and identification algorithms that directly interface with physical hardware. We work closely with
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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industrialise algorithms designed to simulate and optimise the operation and design of aircraft systems, subject to complex, real-world constraints. You will join a growing team of engineers working on a range of
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into: Developing and implementing Quantum Dynamics algorithms for non-adiabatic. Studying the photo-activated non-adiabatic photochemistry of prototypical chromophores. Simulating measurable signals from time
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gene gain/loss events, horizontal gene transfer, and functional diversification within gene families. You will apply statistical models and machine learning algorithms to identify associations between
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clinicians across Europe to test your algorithm. You will be responsible for liaising with internal and external collaborators on data collation, perform model development and testing, and collecting feedback
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning