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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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for therapeutic intervention. Initially focused on tools to study human protein complexes, the lab has expanded to novel screening platforms in human cells for applications such as Deep Mutational Scanning and
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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Imaging Across Species The position is suitable for part-time work. About the Project The project aims to unravel complex interactions between the brain and the cardiovascular system using advanced MRI
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-fertilization and interdisciplinarity between different players and sectors to better grasp the complexity of their issues. They are structured into programs based on the specific themes addressed by
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Area here . The post doc will be a member of and expected to contribute to the Profile Area’s interdisciplinary research network. The Division of Human Rights Studies offers Bachelor-, Master’s- and PhD
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, and policy education. The Institute produces information to help resolve complex problems and enable people to sustain the economies and environmental systems that support their communities. Faculty in
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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
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, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities and Duties: Develop and implement complex data analysis projects