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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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-singing gesturing practices in three different vocal performance traditions: beatboxing, European art song, and karnatak vocal music from South India. The candidate is not expected to have previous
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source separation on commercial recordings and extracting audio features (onsets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
decision-making about tobacco products. The specific project the postdoc will work on uses microsimulation modeling to estimate the public health impact of a ban on flavored cigars in different plausible
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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multi-modal analytics, privacy-preserving methods, and resilience-by-design systems methodologies. . Having experience in foundational disciplines in engineering and science is a plus. We seek to hire a
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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such as aphasia and apraxia. The World Health Organization (WHO) estimates that more than 50 million people worldwide suffer from dementia, with AD accounting for 60-70% of all cases. Unlike familial