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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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variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, and ChIP-seq/Cut&Run datasets; to perform large-scale data integration of single-cell
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experience in programming and working with large-scale data; expertise in machine learning is a strong plus. Ability to work in a highly collaborative and interdisciplinary environment. Experience implementing
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of research procedures and results. Performs data analysis and reduction. Writes research reports and scientific publications. Assists with the management of large, multidisciplinary research operations and the
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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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group: MARIANNE (https://team.inria.fr/marianne/). The MARIANNE project-team pursues high-impact research in Artificial Intelligence with a focus on data and models for computational argumentation in
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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. The incumbent will be responsible for assay design, optimization, and validation using automation, execution of high-throughput small-molecule screening campaigns, and analysis of large, complex datasets
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large cutting-edge institute in the field of theoretical and computational materials physics research. Its focus lies on quantum and functional materials that are relevant for fundamental research and
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both product performance and patient outcomes. You will also have the opportunity to work with large-scale, multimodal healthcare datasets, and contribute to the development of an AI-native intelligent