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Field
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single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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What the role entails: The Division of Cell Matrix Biology and Regenerative Medicine within the School of Biological Sciences wish to appoint a laboratory-based Research Assistant to an exciting
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Biochemistry • Training complements equivalent in training value to the research credits from master’s degree studies b) EXPERIENCE • Research experience in cell cultures of human mast cell lines • Research
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characterisation of primary and immortalised cell cultures, in addition to day-to-day laboratory maintenance, including setting-up equipment, re-ordering lab supplies. The post-holder is required to hold a BSc in a
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of these instruments to ensure their optimal performance and the accuracy of analytical results. Operate hot cells, fluidic systems, and purification systems within the quality and safety framework. Write, review
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement