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colleagues will be responsible for turning existing sequence data into a comparative picture of how cell-type-specific responses to host plants have evolved. The work is largely computational and self-directed
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-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models
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About the position The exact tasks will depend on the skillset of the researcher and desired employment duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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assays and copy-number variation analysis; Nanopore-based sequencing, including 16S rRNA gene sequencing, metagenomic sequencing and sequencing of selected human genomic regions; analysis and integration
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familiarity with downstream transcriptomic methods (e.g. RNA sequencing, RT-qPCR). Experience with live-cell fluorescence imaging, including confocal microscopy and the use of genetically encoded biosensors
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works closely with the national infrastructure facility SciLifeLab. Our PhD students are part of the Biology PhD School that brings together students from multiple departments and organizes symposia
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research group is based at Scilifelab Campus Solna, an interdisciplinary life-science centre, and works to combine nucleic acid nanotechnology with selection and sequencing address several biomedical
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project: Governance and organisational alignment related to the operation and maintenance (O&M) of urban drainage infrastructures Stormwater transports a wide range of pollutants from urban environments
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Third-cycle subject area: Landscape architecture Description of the doctoral project: Governance and organisational alignment related to the operation and maintenance (O&M) of urban drainage