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science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging from edge sensors and
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learning, reinforcement learning, transformer architectures and large language models. - Analytical many-body and quantum information theory: replica field theory approaches to monitored and noisy quantum
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familiar with contemporary construction techniques and have an interest in 20th-century construction techniques or vernacular architecture. Experience in Life Cycle Assessment (LCA), Building Information
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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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demonstrated research experience with foundation models , including the evaluation and adaptation of pre-trained models, fine-tuning strategies, and the development of new model architectures or learning
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on large-scale public and newly generated datasets. As Postdoctoral Researcher in AI, you will take a leading technical role in developing ARCA. You will explore which model architectures and learning
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paradigms, enabling the next major step-change in photovoltaic efficiency. New device architectures, concentrator PV, quantum cutting, hot-carrier collection and photon transport will be explored and enabled
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Advanced Experience Experience implementing novel machine learning architectures and emerging AI methodologies. Knowledge of multimodal modeling approaches integrating imaging, clinical, and genetic data
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will join the Urban Studies section at the Department of Urbanism in the Faculty of Architecture and the Built Environment. Consisting of a group of highly interdisciplinary (spatially-oriented) scholars
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. You will join the section Environmental and Climate Design, department of Architectural Engineering and Technology at the Faculty of Architecture and the Built Environment, TU Delft. You will work in