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Field
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
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research. This person will also develop skills as an independent investigator over time by working with the PI on management tasks, grant writing, and student mentorship. Who We Are Michigan Engineers
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experiments as well as experiments that are part of a related clinical trial. They will assist in mentoring PhD students to perform research. This person will also develop skills as an independent investigator
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further extensions subject to good performance and availability of research funding. Key Responsibilities: Performing literature review and background study on AI Develop algorithms and system designs
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Manager will work with the Directors of the Leverhulme Centre for Algorithmic Life and key strategic partners to develop and implement a strategy and plan of activity for cross-sector engagement and
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making