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merit. Requirements: At least one first-author publication in a recognized peer-review journal Experience in studies of hematopoietic stem cells, hematopoiesis and/or immunology Established proficiency in
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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microscopy, HSC transplantation and assays of multiple organs. Required skills: PhD in hematology, hematopoietic stem cell biology, aging biology or a related field At least one first-author publication in a
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Job related to staff position within a Research Infrastructure? No Offer Description Job description AI is rapidly becoming the primary author of the world's software. Today's models generate code at a
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the selection criteria. Maximum two pages long. One peer‑reviewed publication that you consider your strongest work, accompanied by a short explanation of its significance. For multi‑author papers, clearly
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publications. The publications should mention all the co-authors (following the same author order as in the published version) and include DOIs or links to publicly accessible versions. A research statement (two
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properties, and co-author high-quality scientific publications. Beyond your core research, you will have the rewarding opportunity to mentor MSc or PhD students, sharing your expertise with the next generation
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certificates Up to ten publications selected by the applicant as most relevant must be attached to the application. If it is difficult to identify the contribution of the applicant in multiple-author
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, Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998 ). This position addresses the emerging opportunity to bridge conventional implantable devices with bio-integrated, in situ formed