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of Machine Learning as the problem of approximating function f from the pair of measurements (x,y), and Optimization as the problem of finding the value of input x that maximizes the output y given
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However,...
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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In this project we are interested in exploring new paradigms for solving Combinatorial Optimisation problems, and generally NP-hard ones. One direction of research could consist in using
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Health Clinical School is inviting you to join us as a Research Nurse to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment management
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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The Eastern Health Clinical School is inviting you to join us as a Research Nurse (Oncology) to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment
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, digitization, automation, and analytics requests. Supporting projects like system testing and development to ensure compliance and optimal performance. This role requires excellent judgment and process
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performance optimization. Superior communication skills to liaise with business and technical stakeholders Strong numeracy, analytical, and problem-solving abilities with the capability to identify challenges
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research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising