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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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-being and achievement - enabling everyone to unlock their potential and contribute with confidence. Job Summary Manufacturing is a highly complex field involving materials, machines, and processes
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for the Research Fellow post should have a doctoral degree in Chemistry, Materials Science, Biology or a related discipline or an equivalent qualification plus at least 3 years of postdoctoral research experience
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Science Award -Produce physical models, mock-ups, and prototypes using the Faculty of Design and Art workshops and unibz Fablab -Carry out iterative material exploration and craft-based experimentation in
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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(PDX) models. The position requires proficiency in mouse handling and welfare and in repeated drug administration by oral gavage, intraperitoneal injection, and intravenous tail-vein injection
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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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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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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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