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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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development and grant submission processes. - Excellent organisational, leadership, and communication skills - Strong stakeholder management and collaboration abilities. - Proven ability to manage multiple
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of Psychological Sciences. In this exciting role, you will contribute to clinical trials and research projects focused on improving the mental health of adults with neurological conditions (e.g., epilepsy, multiple
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of participants that participate in clinical trials. In the overall scheme of the Georgetown University Medical Center, this position indirectly and directly supports multiple departments. From a fiscal perspective
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
therapeutics. Position Overview: We are seeking multiple highly motivated Postdoctoral Research Fellow with expertise in systems pharmacology, machine learning, and/or data science to join our interdisciplinary
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
in artificial intelligence (AI) for settings involving multiple interacting decision-makers---whether autonomous AI agents, humans, or a combination of both. Applications include mixed-autonomy
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
addressing important data-driven applications in medicine, engineering, and the physical sciences, on the basis that important applications foster novel algorithms which in turn enable new applications
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution