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generalizability, reliability, and robustness. Prof. Li has authored over 40 papers in top-tier AI and machine learning conferences and journals. Ranked among the Top 50 researchers in “Spatiotemporal Data Mining
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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this for data mining of existing scRNAseq datasets in the lab, as well as publicly published and newly generated data. You will study how abnormal genetic content modulates cell fate decisions in pluripotent stem
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datasets (e.g. scRNA-seq) to derive prior knowledge on AML dormancy Develop and apply integrative data analysis pipelines (e.g. MOFA, Scriabin, LIANA+, COSMOS) for mining and interpreting multi-omic datasets
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. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Prof. Florian Matthes
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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies.Some expertise in bio-informatics and data-mining is a plus.You have analytical problem-solving
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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies. Some expertise in bio-informatics and data-mining is a plus. You have analytical problem-solving
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, School of Agriculture, Policy and Development Project description: Mine tailings are the waste by-product of mining and mineral processing. Tailings are considered valueless and a threat to the environment
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/charter/code Unsolicited marketing is not appreciated. Information For information you can contact: Prof. Jan-Willem Romeijn, j.w.romeijn@rug.nl (please do not use the email addresses above for
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Status: Closed Applications open: 21/01/2025 Applications close: 16/05/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by