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Field
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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hired either as a Post-Doctoral Researcher or a Research Assistant, based on their qualifications and level of experience. Applications are invited for researcher to work with UCC’s Offshore Renewable
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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Business Models for a Fair and Sustainable Transition Study evidence base data on circular business models, SME adoption, consumer engagement, behavioural uptake and stakeholder participation, via mixed
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
interpretation of space-based observations of trace gases in fire plumes by addressing existing challenges associated with aerosol loading, radiative transfer and/or prior assumptions. This could also include
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cellular mechanisms underlying cancer immunoediting in skin cancer. Current research focuses on understanding the role of natural killer (NK) cells in shaping tumor evolution and controlling cutaneous
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18 Months Fixed Term, Whole-time Post Please note that the successful candidate can be hired either as a Post-Doctoral Researcher or a Research Assistant, based on their qualifications and level of
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
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, cardiac CT, ECG, portable ultrasound, and multimodal clinical data. Building scalable pipelines for image ingestion, DICOM/PACS interoperability, preprocessing, annotation, quality control, model training