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Field
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a statistical decision-support tool that quantifies what each animal cardiovascular-safety study tells us beyond cell and simulation-based tests, flagging studies that are ready for retirement
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antibody-antigen interactions and advancing vaccine and therapeutic design for viral diseases and other diseases that affect both humans and animals. The successful candidate will be involved in the viral
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Additional Qualifications Prior experience working with animals, high resolution imaging, or computational biology are considered a plus. If visa sponsorship is needed, Harvard retains the discretion
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, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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yield, forage nutritive value, dairy animal performance, and production economics. This project integrates field research, statistical modeling, stakeholder engagement, and development of decision-support
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microelectrode arrays (MEA), handling of viral vectors, and animal experimentation course/certification by DGAV will be considered a strong advantage. I.II - The non-degree-granting course must be related
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play
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synergy with research carried out in our Center for Engineering Life (https://www.ucl.ac.uk/biosciences/cell-and-developmental-biology/centre-engineering-life-cl ), in particular synthetic developmental
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generate data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS, and CT-PET machines. Designs in vitro and in vivo (murine model) experiments. Record and