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infrastructure for quantitative proteomics, molecular and functional genomics, bioimaging, and experimental model systems. The position is embedded in the Protein Research Group, which focuses on quantitative
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Two Postdoctoral Positions (f/m/d) in Bioengineering / Systems Biology and Yeast and Mammalian Cell Engineering (full-time) Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg
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of molecular systems have until now only been studied with highly abstracted models. A more detailed modeling approach, inspired on the engineering-type approaches used in molecular systems biology, is needed
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modalities like spatial proteomics and/or single-cell RNAseq. Once trained, those models will allow us to (1) understand the principles of molecular communication to self-organize cells in tissue, and (2
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at the systems level. By integrating groundbreaking multiomic methods at the single-cell level with advanced experimental models, such as human organoids, the laboratory maps the molecular and cellular mechanisms
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dysfunction drives CNS disorders, with a primary focus on amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Our mission is to uncover the cellular, molecular, and network mechanisms
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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discipline Strong experience in integrating several of the following components: Deep learning and LLMs for molecular biology Vision foundation models for pathological image analysis Multi-omics datasets (e.g
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molecular biology and immunology techniques along with multi-omics approaches, including sc-RNA-seq, bulk RNAseq, epigenomics, metabolomics, proteomics, CRISPR screens and genetically engineered mouse models
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to define their molecular mechanisms, elucidate their roles in aging and neurodegenerative diseases (including Alzheimer’s disease, Parkinson’s disease, and ALS), and explore their potential as targets