Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- City of Hope
- University of Maryland, Baltimore
- University of Oslo
- Zintellect
- National University of Singapore
- Indiana University
- Nanyang Technological University
- UNIVERSITY OF MELBOURNE
- University of Michigan
- Aarhus University
- Dana-Farber Cancer Institute (DFCI)
- Florida International University
- Margaret M Redfield
- Queen's University Belfast;
- SciLifeLab
- Stazione Zoologica Anton Dohrn
- University of British Columbia
- University of Colorado
- University of London
- University of Michigan - Ann Arbor
- University of Texas at Austin
- Université de Strasbourg
- Weill Cornell Medicine - Chandwani Laboratory
- eQuest
- 15 more »
- « less
-
Field
-
multidisciplinary investigators, and establish an independent research direction. As a successful candidate you will: Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets
-
-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
-
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
-
Desirable Skills: Experience analyzing and integrating multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay
-
cancer relapse and targeted therapy response. Responsibilities* Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and
-
openness to new perspectives Desired qualifications Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis Experience in computational genome studies (e.g., TF-DNA
-
openness to new perspectives Desired qualifications Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis. Experience in computational genome studies (e.g., TF
-
. Demonstrated experience in designing and deploying scalable cloud-based infrastructures (AWS, Azure, GCP). Demonstrated experience in bioinformatics pipeline development (e.g., RNA-seq, single-cell RNA-seq
-
health research, or related fields. Substantial Experience in R, python or other relevant computational languages. Experience with single-cell RNA sequencing and/or ATAC-seq. Demonstrated experience
-
openness to new perspectives Desired qualifications Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis Experience in computational genome studies (e.g., TF-DNA