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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
of a Linksium/UGA maturation program, with a strong emphasis on bridging research and real-world applications, and contributing to the development of an operational tool for decision-makers in mobility
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of stem cell biology, developmental neuroscience, and computational analysis, with a particular focus on the human subplate and its interaction with early thalamic input. You will contribute
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37.5 Offer Starting Date 15 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Postdoc position (22 months) is open in
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project aimed at advancing our single-cell ribosome profiling technologies in cancer. For further information about the lab, please visit https://www.sendoellab.org/. The Institute for Regenerative Medicine
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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: apos.contrattidiricerca@unibo.it Contact phone: 051 209 8951 - 9612 - 8165 Annual budget: 40247 Frequency of calls: 12 mesi International mobility required: no Website for additional job details https://bandi.unibo.it
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: 12 mesi International mobility required: no Website for additional job details https://bandi.unibo.it/ricerca/incarichi-post-doc Work Location(s) Number of offers available1Company/InstituteUniversità
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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for a highly motivated postdoctoral research fellow who is equally adept at applying wet lab-based experimental approaches and high-dimensional computational analyses to study disseminated tumor cell