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fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking
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objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
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, recurrent memory, Bayesian modelling, uncertainty quantification and machine learning systems. Emphasis will be on methods that design and implement new architectures for (auto-regressive) sequence modelling
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. Familiarity with multimodal sensing technologies, including RGB imaging, thermal imaging, 3D vision, or other non-destructive inspection methods. Experience with edge AI, real-time inference, or MLOps
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
modeling Genetic correlation and cross-trait analyses Mendelian randomization and causal inference Identifying cell types and programs associated with disease progression Importantly the fellow will
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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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inference pipelines suited to low-power wearable deployment, translating platform capabilities into demonstrable prototypes in collaboration with fabrication and electronics teams. Act as the technical bridge
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anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and
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inference? Join our team to study the causal effects of voting advice applications on political behaviour, leveraging a collaboration with the Norwegian Broadcasting Cooperation (NRK). Are you ready to take
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g