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-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable
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SPECIFICS Postdoctoral Scholar (Computational Proteomics/Mass Spectrometry) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type
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single-cell multi-omics (scRNA-seq, scATAC-seq, Multiome) data generated in 3D forebrain dorsal organoids, we aim to map regulatory networks sensitive to NR2F1 expression levels. Our group studies
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of single-cell multi-omics data (scRNA-seq, scATAC-seq, Multiome) to reconstruct gene regulatory networks in 3D forebrain dorsal organoids to determine pathophysiological consequences of aberrant NR2F1 dosage
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development of new sensors, support nanoparticle-based cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoqualifications: Ph.D. in cancer biology, molecular biology, immunology, genetics, or a related field. Experience with cell and molecular biology techniques, animal models, immunology assays, or translational
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, and structural biology. His core scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant
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scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer
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, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information