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Field
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well as mouse models. Responsibilities Oversee data generation and data analysis across various internal and external collaborations. Includes working datasets such as single-cell RNA-Seq, single-cell ATAC-Seq
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-nucleus RNA sequencing (snRNA-seq) datasets to characterize post-metamorphic cell types and investigate their developmental dynamics. The project includes the generation of cell type-specific bulk ATAC-seq
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-targeting technologies such as siRNA and antisense oligonucleotides. Experience with eCLIP, iCLIP, CLIP-seq, or related RNA–protein interaction assays is highly desirable but not required. Job Description
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
epigenetic approaches to characterize aging-associated changes in the hypothalamus Analyze and integrate high-dimensional sequencing datasets, including RNA-seq, single-cell/single-nucleus sequencing, ATAC-seq
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spoken English. Additional qualifications: Experience with NGS techniques (RNA-seq, ChIP-seq, WGBS, etc.); Experience with chromatin conformation analysis techniques (Chromosome Conformation Capture-based
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datasets, including RNA-seq, Exome-seq, single-cell RNA-seq, and other NGS platforms. · Proficient in R/Bioconductor and Python programming, with experience using additional languages such as Perl
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-disciplinary team and will be trained in biochemistry, molecular biology, proteomics, genomics (ChIP-seq, RNA-seq, ATAC-seq etc) in cell and primary disease models. This PhD role will also be embedded in a
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(wet-lab & computational) PhD student to work on a Project focused on Understanding the Role of RNAs in Alzheimer's Disease Pathology. In this project, the selected PhD candidate will combine
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. Experience in virology, cell biology, and gene silencing techniques. RNA biochemistry, molecular biology, and pertinent bioassays. PREFERRED QUALIFICATIONS Experience with RNA sequencing (RNA-seq) techniques
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of brain development and neurodevelopmental disorders. This person will apply and develop computational methods to analyze datasets of varying modalities, such as RNA-seq, ATAC-seq, and spatial