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trial design, and sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect
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support advanced decision support systems and intelligent applications. 5. Lead the development, fine-tuning, evaluation, benchmarking, and optimization of large language models (LLMs) and other AI
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Looking to advance the frontiers of research in computational
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forskning og utdanning med høy relevans for arbeidslivet, velferdsstaten og storbyregionen. About the position The Department of Built Environment https://www.oslomet.no/en/about/tkd/be at Oslo
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probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering descriptions and
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for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement: Good oral and written
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; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed
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research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You