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related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
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expertise through continuous engagement with scientific literature Mentor, or train less experienced team members or academic interns, as needed. Additional Information: We encourage candidates to apply by
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applicants for a postdoctoral fellow position in the Laboratory of Systems Pharmacology (LSP; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in Boston
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. The successful candidate will work with Dr. Lahav to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out research, the successful candidate will be
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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
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bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Buratowski to develop an independent research project within the scope of the lab’s
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applications for research in larval zebrafishg neuroscience. The general goal of our laboratory is the development of the larval zebrafish as a model system for the comprehensive identification and examination
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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. The successful candidate will work with Dr. Devlin to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out bench research, the successful candidate will