210 systems-engineer-"https:" "https:" "https:" "https:" positions at Harvard University
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application of methodologies suited for simulations of biological systems, including DNA and histone interactions. Candidates should also arrange for letters of recommendation to be submitted by up to three
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observational field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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observational field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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biology of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly
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biology, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses
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biological membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related
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cancer development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD
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between DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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available. Further information about the BHI may be found at https://www.bhi.fas.harvard.edu ; information about BHEX may be found at https://www.blackholeexplorer.org/ . Please direct any questions about the application process to Nicole Grenier: [email protected].
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interdisciplinary team of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems to study and model and compare adaptive immunity and radiation toxicity in non