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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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. Ability to work independently, think analytically, and approach tasks systematically while maintaining a clear focus on objectives. Adaptability and ability to communicate in a constructive and respectful
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input). Imagine a robotic, prosthetic hand that automatically adjusts to the object you want to grab - without you needing to consciously control every movement. The same principle applies to robot arms
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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from 1 January 2026 for a duration of two years. Objectives Develop systems-based approaches to bridge agroecological knowledge with transformative strategies for policy and business. Facilitate the spin
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-atmosphere model. The objective is to accurately represent faba bean phenology, physiology, and yield response to environmental factors, especially drought conditions. Your Tasks and Responsibilities Data
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researchers. The successful candidates for these positions will join our team for further advances in this area and either focus on defining a climate breeding objective or developing a climate index. The work
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MOFs and their hybrid materials. The primary objective is to explore the fundamental structure–property relationships that govern MOF vitrification and liquid-phase behavior, and to develop new MOF-based