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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
in single-cell genomics. Responsibilities: Design and run lineage-tracing and tumor-initiation experiments in genetically engineered mouse models of lung injury and adenocarcinoma Generate and help
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. The engineered immune cells are studied using both in vitro and in vivo models and characterized using advanced analytical methods, including multiparameter flow cytometry and high-resolution sequencing
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Eligibility ABP Qualifications Minimum Education and Experience PhD in Biology or a relevant science or an MD required. Consideration to interview will also be given to applicants who are in the process of
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to consolidate their experience in applied biomedical data science as a post-doctoral researcher in the field of human tissue immunology. We seek a highly motivated and appropriately experienced scientist to help
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continuously conducting supervision and evaluation of bachelor’s (Biomedical Engineering, Biology and Medicine), master’s (Master’s in Molecular Biology and Biomedicine), and PhD degree projects of Spanish
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-sequencing datasets from across a large, international collaborative research network. The role involves establishing a robust pipeline to generate a transcriptome-wide map of STR expression in PD brain tissue
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Ozbolat Laboratory in Penn State's College of Engineering has multiple openings for Postdoctoral Scholars in the field of bioprinting, tissue engineering
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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interested in how alterations to ENS macrophages in aging and neurodegenerative diseases contribute to disruption of gastrointestinal motility. We use well-established mouse models and human gut tissue
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present