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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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in cancer immunology, ER stress, innate immunity, cancer biology, biochemistry, transgenic and preclinical animal models, and translational research. Publications from the Chen lab include Cell (2024
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Postdoctoral Scholar in Structural Biology & Translational Medicine Are you a structural biologist looking to bridge the gap between fundamental discovery and real-world therapeutic applications
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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Article) PMID: 23811687 Nature Cell Biology 13: 310-316 (2011) (Cover Article) PMID: 21336310 Molecular Cell 37: 668-678 (2010) (Cover Article) PMID: 20227371 Lab website: https://www.med.upenn.edu/apps
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.), Physics I (particle, nuclear, astrophysics, etc.), Physics II ( condensed matter, etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology, microbiology, imaging
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. Candidates must hold a recent Ph.D. in Immunology, Molecular Biology, or related field. Experience with epigenetic techniques (ChIP-seq, ATAC-seq), strong background in molecular biology, proficiency in flow
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levels. This position offers the opportunity to work at the interface of cardiovascular biology and immunology, with access to advanced in vivo models, flow cytometry and immune phenotyping platforms, and
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for translational impact. Candidates should hold a Ph.D. or M.D./Ph.D. in molecular biology, hematology, immunology, prostate biology or a related field. Experience with mouse models, stem cell assays, single-cell or