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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 3 days ago
, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify therapeutic targets within inflammatory pathways. We are also testing novel
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of Neuroscience. The Gao Lab studies the cellular mechanisms of neurodevelopmental disorders using cutting-edge proteomics, protein/genome engineering, and electrophysiological approaches. The postdoc will engage
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. Building on this platform, we combine cell biology, biochemistry, CRISPR-based approaches, organelle isolation, metabolomics and proteomics, mouse genetics, and disease models to discover principles of ER
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, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills. Experience using R, Python or other statistical programming languages to analyse biological
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 9 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 2 months ago
biochemical assays, evaluation of bioactive small molecules, mechanistic studies using cellular and molecular biology approaches, and proteomics-based analyses. The successful candidate will also contribute
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to work in a highly collaborative environment with access to state-of-the-art chemistry, proteomics, immunology, and animal research cores while contributing to projects with strong publication, patent, and
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
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. Experience analysing large biological datasets, including RNA sequencing, metabolomics, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics