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) Contract:TV-L Your tasks Implement advanced machine learning and data integration approaches Analyze and interpret single-cell and multiomics high-thoughput sequencing data Collaborate with leading wet lab
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molecular biology and tissue culture methods, along with next-generation sequencing (NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work
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experiments Coordinate sequencing with academic and commercial partners Prepare and present results through peer-reviewed publications and presentations at scientific meetings Your profile: Dissertation in
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Earth and Environment, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging
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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 16 hours ago
or procedures. Essential qualifications PhD (or near completion) in Mathematics or a closely related field. Strong expertise in algebraic topology and data analysis, aligned with the research interests of MPI-CBG
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
-generation sequencing, computational biology, and genetic engineering strategies to drive these goals. The Group is within the Department of Microbiome Science, led by Prof. Ruth Ley. The project Methanogens
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
on bacterial and archaeal communities at the bottom of the CCZ. A unique dataset with DNA/RNA sequences (including metabarcodes, metagenomes and metatranscriptomes from sediment, bottom seawater and polymetallic
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strongly supported by core facilities that offer cutting-edge imaging and sequencing technologies. There will be career-building opportunities such as contributing to grant writing, participating in peer
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aspects of modern ML systems. Current research directions include the ERC Consolidator Grant CollectiveMinds, which explores how multiple smaller models can collaborate, adapt, and forget outdated knowledge