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at least two of: High‑throughput sequencing assays (ATAC‑Seq, ChIP‑Seq, BS‑Seq/EM‑Seq, RNA‑Seq); library prep and QC. Chromatin conformation (Hi‑C/Micro‑C) and analysis of TADs/compartments/loops
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and environmental gradients, combined with high-throughput sequencing and downstream ecological analyses. A key focus of the staff scientist will be the optimisation and standardisation of molecular
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and other key actors, the project explores which governance models and policy instruments are most effective in achieving multiple objectives. The goal is to generate new knowledge about how forest
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specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence
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of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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coupled with CRISPR gene editing. We use state-of-the-art sequencing methods e.g. Oxford Nanopore long-read sequencing and 10X genomics single-cell sequencing. Moreover, we will work with TE tailored
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leverage patient-derived material such as post-mortem tissue and cell models, including cellular reprogramming coupled with CRISPR gene editing. We use state-of-the-art sequencing methods e.g. Oxford
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for reference here . We particularly welcome dissertation projects aligned with the research orientations of our supervisors . As a doctoral candidate, you will formulate your individual research plan within
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of 3D genome and epigenomic landscape orchestrates gene expression programs that underlie neuron-to-glioma communication. In this project, we will use single-cell sequencing methods, bioinformatics, and