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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 8 hours ago
nebulae, protoplanetary disks—but also from exoplanets and galaxies. The data and tools will enable interpreting observational data from NASA missions, notably, JWST, which is now spectrally and spatially
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training and mentoring programme in place that consists of both key skills training and online monitoring of research progress. Project Options: Option 1 - A multi-omics spatial approach to characterise and
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Memories in Post-Migrant Society” research unit Collaboration in the project council Where to apply Website https://karriere.th-koeln.de/job/view/1515/postdoctoral-researcher-m-f-d-in-the… Requirements
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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spring 2026. The course is conducted in person on Bard’s Annandale-on-Hudson campus. Classes meet twice weekly. Bard CEP’s GIS course provides students with the fundamentals of using spatial information
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months - expiration date 21st november 2025 at 1:00 pm - at the Department of Information Engineering Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria
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modelling framework to develop new understandings Full time, four-years fixed-term, based in Hobart About the opportunity This postdoctoral research position will develop and apply an optimal spatial
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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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Volcanic islands are exciting real-world climate and landscape laboratories. When geologically young (<10Ma) they provide a simplified and spatially limited setting for testing landscape evolution
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell