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Field
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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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research networks. The position is particularly well suited for candidates interested in questions such as: how stakeholders make sense of contested sustainability innovations how perceptions, values, and
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be tested are located in the Marcell Experimental Forest (MEF) in north central Minnesota, where long-term data and research facilities exit, and the presence of complex landscape elements (lakes
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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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, 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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) Experience working with primary fibroblasts, primary macrophages, organoids, or other complex cellular models We're especially interested in candidates with either: (1) expertise in ECM biology, fibrosis
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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
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and Temporal Remodeling: How do microvascular lymphatic networks adapt during disease initiation, progression, damage resolution and what governs the timing and localization of these changes? Cellular