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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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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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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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· Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes
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platforms, including in-house LC-MS and GS-MS-based metabolomic platforms, illumina sequencer, 10xGenomics single-cell technologies, and flow cytometry. Our team brings together enthusiastic scientists with
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holder will have the opportunity to gain qualifications are: Data collection and curation. Whole genome sequence and annotation (coding and non-coding) from diverse plant species have been prepared, while
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sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley. Ideal candidates will be
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify