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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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, diet, and immune system to investigate their roles in various diseases, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
products from the TanDEM-X radar mission, large airborne and field-based LiDAR datasets, and process-based models, as well as other openly available remote sensing and field datasets. The diverse data will
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley. Ideal candidates will be
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innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable