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. The platform connects large language model (LLM) reasoning agents, Bayesian optimisation, and robotic laboratory hardware in a closed-loop workflow, enabling autonomous or human-in-the-loop discovery campaigns
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methods and depth in one or more of generative modelling, reinforcement learning, Bayesian optimisation, active learning, uncertainty quantification, causal modelling, or optimisation in complex search
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, naturalistic behaviour. The research will centre on immersive virtual-reality object-sorting and object-copying paradigms, complemented by in-person and online studies. The postholder will develop and validate
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University of California, San Francisco | San Francisco, California | United States | about 17 hours ago
resources. Generic Scope Spends the majority of time (50% or more) achieving organizational objectives through the coordinated achievements of subordinate staff. Establishes departmental goals and objectives
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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport
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Experiments (DoE) and Bayesian optimization, manage research data using the NOMAD research data infrastructure, and apply data-driven optimization strategies. Analyze and interpret experimental data
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to established research protocols while working under the direction of scientists. Perform a variety of tasks contributing to tests and studies to support the objectives of research projects. Prepare samples
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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