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optimisation. Develop model predictive control and multi-agent model predictive control algorithms for path planning under dynamic maritime conditions. Develop capacity optimisation algorithms that enable drones
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Harvard Office of Technology Development (OTD): Business Development Fellowship Eligibility: Harvard graduate students and postdocs Deadline Month: May Description: This year-long program provides
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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Details Title Postdoctoral Fellow in Molluscan Cell Biology, Cell Line Development, and Organoid Engineering School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology
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of optimization and generalization to inform the design of practical training algorithms. To produce high-quality publications in top-tier machine learning conferences and journals. To offer guidance and assistance
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support all aspects of the research project. Carry out algorithmic development and data analysis, including (but not limited to) single-cell and spatial transcriptomics. Implement state-of-the-art