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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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III will be responsible for specimen tracking, processing, organization and analysis. The Research Associate III will be expected to maintain detailed records of experiments and activities according
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background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our department is looking for a Research
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
established, whose spatial and spectral properties must be determined and optimized. In addition, numerous optical measurements are to be carried out for other X-ray observatories such as eXTP and the AXIS
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
high spatial resolution and revisit frequency. Such infrastructures are crucial to understand our changing world and climate but also the Martian or the Moon environments and their degree of habitability
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cell fate specification. The project will focus primarily on the analysis and comparison of single-cell RNA-seq datasets from different animal groups, including multi-omics and spatial transcriptomics