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Field
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include to integrate findings and analysis into the public project archive and to engage in scientific dissemination and publication. Your main tasks Individual and collaborative research and publication
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on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation Data cleaning and preparation Assisting integration
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imaging in musculoskeletal medicine. Responsibilities Develop and apply advanced AI methods for multimodal and 3D medical image analysis (Xray, MRI, CT). Integrate robotic data, biomechanical measurements
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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research results of the project will be integrated into the current discourses of trauma studies and related fields of research. Specifically, memos are to be produced on an ongoing basis and fed
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will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy-climate
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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Earth and Environment, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging
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modeling. Our research contributes to robust management concepts for the sustainable provisioning of diverse ecosystem services, and for maintaining the integrity and diversity of ecosystems in a changing
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. The successful applicant will integrate multi-modal live imaging and omics data using AI-based pipelines to identify and refine early disease phenotypes, laying the groundwork for therapeutic intervention