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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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Gene expression modulation CRISPR/Cas9 (including knock-out, knock-in, CRISPRa, CRISPRi, viral vector systems) Next-generation sequencing (RNA-, ATAC-, ChIP-Seq, CUT&RUN, Hi-C and others) Pulldown and
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
align with long-term vision and impact. About the Research Group Our Algebraic Systems Biology group led by Prof. Dr. Heather Harrington creates mathematical approaches for complex biological systems. We
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that can be embedded within spiking neural architectures Training and evaluation of these enhanced networks on sequence learning tasks and comparing their performance against state-of-the-art sequence
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sequencing, genetic modification, or protein biochemistry. You will work with bioinformatic tools and workflows to analyze sequencing results. Data analysis will include the use of statistical methods
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excellent scientists with core expertise aligned with the IAT by guaranteeing a permanent contract upon successful evaluation. We are offering at our IAT campus in Geisenheim a full-time position as Tenure
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short-read RNA-sequencing data or Using a foundation model to develop a perturbation prediction model for aging Foundation models will be developed using different species, perturbations may be chemical
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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 24 days ago
-generation sequencing, computational biology, and genetic engineering strategies to drive these goals. The Group is within the Department of Microbiome Science, led by Prof. Ruth Ley. The project Methanogens
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-dimensional next generation sequencing datasets (e.g. single-cell RNA-seq, CITE-seq, bulk RNA-seq, single-cell TCR-seq, ATAC-seq), and potentially flow cytometry datasets from immune cells. The datasets