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and PBWT-based algorithms (RaPID, RAFFI, FiMAP, ROH analysis, local ancestry inference), now extending into GBWT/RLBWT-based pangenome indexing, efficient pangenome graph construction and query, cross
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell
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of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis
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collaboration with faculty and research staff at NCEMS, will conduct original research involving proteomics, mass spectrometry data analysis, protein interactions, protein complexes, post-translational
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] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational
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an experienced Postdoctoral Researcher in Crop Genetic Resources and Informatics to apply genome informatics and quantitative genetic approaches to trait analysis in maize. Research will include work on maize
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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assisting in collaboration projects in biomedical science. In particularly, this Post Doctoral Scholar will develop new AI methods in advancing natural language processing analysis for text data, build
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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
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und Lehre Anstellungsart: Voll-/ Teilzeit Veröffentlicht: 11.08.2026 Befristung:Befristet (3 years) Vertrag:TV-L Ihre Aufgaben Establish computational pipelines for the analysis and integration