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Field
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upskill on algorithmic information theory, AIXI, Bayesian statistics, and reinforcement learning theory (existing expertise on these topics not required). Proven ability to independently design, build, and
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the production of the CBC catalog. The successful candidate is expected to have strong analytical skills and experience with signal processing, Bayesian statistics and machine learning. Exemplary
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
; Machine Learning; Artificial Intelligence; AI; PINN; Sensor Networks; Sensor Fusion; Optomechanics; Interferometry; Frequency Comb; Photonics; Acoustics; Sound; Sensing; Optics; Bayesian; Statistics; Signal
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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methods of absolute dating, statistical analyses and Bayesian modeling; significant scientific achievements in this field (in particular a scientific monograph, scientific articles published in prestigious
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Control. Com- bine reinforcement learning, optimal control and Bayesian optimization to discover robust control proto- cols under realistic experimental imperfections; apply ex- plainable AI to extract
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-throughput screening, and online/in situ characterization with active-learning and Bayesian-optimization pipelines to guide experiment selection Build agentic artificial intelligence (AI) workflows and FAIR
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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perspective to fundamentally solve the central question: how should an observer act in an environment to actively uncover the goal of the agent? Required knowledge Proficiency in Programming, Bayesian
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, characterization, optimization, and autonomous decision-making. Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems