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reliable and sustainable components more affordably and more efficiently. Due to the complexity of the research, an integrated framework combining experiments, simulations, and data-driven methods is
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particles will be assembled into larger one-dimensional and three-dimensional structures and integrated with other material systems. Characterization techniques will include electron microscopy, X-ray-based
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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center for catalysis at Chalmers. The goal of the center is to develop catalytic technology for sustainable transport, energy, and environmental systems. The center is integrated with the research and
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data integration, digitalisation, and sustainability aspects on material use. The position further requires demonstrated good ability to communicate orally and in writing in English. Assessment criteria
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expected to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - A PhD in a discipline such as Environmental Sciences, Ecology, Forestry
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-, and fuel-related Risk Influence Factors (RIFs). Translate potential risk scenarios into Unity-based extended reality (XR) modules and embed proactive Risk Control Options (RCOs). Integrate developed
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integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are particularly interested in
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within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology