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support the development of AI-driven and data-driven approaches for the discovery and design of functional materials. The role will involve the development and application of machine learning models, high
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National Laboratory to accelerate materials discovery by integrating advanced 3D X-ray diffraction experiments, mechanistic modeling, and artificial intelligence. A powerful set of high-resolution 3D X-ray
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communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI
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. The place of work will be at campus Porsgrunn. About the doctoral project The person appointed will be affiliated with the research project pavement materials and fatigue damage modelling, which is headed by
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TheClimate and Ecosystem Sciences Division at Berkeley Lab seeks a Pantropical Vegetation Dynamics Postdoctoral Fellow to combine observational synthesis, ecological theory, and numerical models
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). The selected candidate is expected to work on: • physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework • high-level exploration and modeling
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validation. Carry out in vivo animal model work, including pathogen infection models where applicable, underapproved animal care protocols. Perform multi-color flow cytometry, ELISA, Western blotting, and
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Chemistry, Physics or Materials Science (or at least be close to submitting your thesis). You will have extensive experience of electrochemical testing of materials and cell fabrication experience
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of the disorder and the resulting splicing dysfunction, and to establish appropriate mouse models, with the ultimate goal of developing an RNA-targeted therapy. This position offers the opportunity to work at the
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Bio Process Development Unit (ABPDU ). In this exciting role, you will develop AI-driven predictive metabolic models of cell physiology, metabolism, and functional behavior. You will have the