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to profile tumour and immune cells in melanoma organoid co-cultures and live tissue slices. At Erasmus MC, the candidate will work to combine spatial FUNseq with single-cell genome and transcriptome sequencing
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in vitro model. The recruited PhD student will contribute to the three research axes of the project: - Single-nuclei RNA sequencing (snRNAseq) of microdissected arterioles from children with normal
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-documented. In EPT taxa, larvae are often identifiable only to genus, unlike adults (imagos); larva-adult association through sequencing therefore makes it possible to extend the coverage of reference
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. One or multiple satellite ground stations (e.g., Starlink, OneWeb) will be installed and connected to the core network soon to support NTN testing. Duties of the position Complete all the doctoral
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 28 days ago
they play crucial roles in human diseases such as Parkinson’s disease, Alzheimer’s disease, and cancer. As new means to combat these diseases, we leverage sequence-specific proteases to reduce the
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cell culture. CRISPR/Cas9 genome engineering. Fluorescence microscopy. Next-generation sequencing. Bioinformatics. Mouse models or embryology. Above all, we are looking for a curious, motivated
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
. The project integrates state-of-the-art molecular biology, functional genomics and cancer models with computational analysis of large-scale sequencing datasets. The primary focus of the PhD project is
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting