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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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carries out research, undergraduate and postgraduate education within materials physics and materials chemistry. The division combines theory and modelling, materials synthesis, characterization, and
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researchers and doctoral students across 13 research groups. Research at LOE spans materials synthesis and chemistry, theory and modelling, fundamental materials physics, and device development, with
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
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. To understand how this planet works, our researchers seek answers in the field, through laboratory experiments and advanced models. Our research and education cover a wide range of disciplines, including rocks
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and emerging threat models. studying the security notions, attacks, and proofs for hash-based signatures, with a focus on physical attacks. Admission requirements The general admission requirements
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 29 days ago
is sensitive to cognitive training-induced plasticity. Across modalities, diagnostic and prognostic models will be developed to determine the added value of each technique, alone and combined with
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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position We are seeking a motivated doctoral student to work on biomethane system scenario design and assessment. The research studies include modelling and simulation from feedstock supply and thermal