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assays (e.g., high-throughput atomic force microscopy). This position offers the opportunity to work in a dynamic and multidisciplinary environment, contributing to a project with both fundamental
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and regulatory compliance for innovative NLP applications. Full-time position (100% TVL-E 13). A collaborative environment in a dynamic, young team at one of Europe’s top universities. Opportunities
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. • Collaborate with project partners. • Contribute to the preparation and analysis of data for publication and presentations. The following qualifications will be of advantage but are not stringently required
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Analyzer and Sorter, single-cell mRNA-sequencing etc.) • A cutting-edge highly funded research project in immunology (ERC-CoG funded lab) • A highly dynamic international young team in a thriving research
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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national grants. You will plan, design, and manufacture our sensor to be used in clinical trials, work on data acquisition and data analysis. The results of your work will not only accelerate your scientific
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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multiple institutions, and more details can be found at the project website: Project Website: www.raicam.eu Eligibility Criteria • Not have resided or carried out your main activity (work, studies, etc.) in
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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science
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, customer protection, and other industries Wide scope of possible NLU and NLG research topics and technologies, including but not limited to Information Extraction, Named Entity Recognition, Surface