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expected to participate in formal and information presentations of results to staff. Participate in grant application process and manuscript preparation as required. Maintain detailed notebook of all work
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of antibody functional screening data. These efforts will advance methods for rapid machine learning-based antibody drug design while developing new and improved antibody drug products. We are looking
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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remodeling microglial responsivity in AD mouse models (Lee, Neuron , 2018, PMID: 29518357). Developing MORF method (akin to "genetic Golgi staining") and novel imaging/informatic pipeline for 3D whole brain
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application to both katherine.calvo@nih.gov and weixin.wang@nih.gov . Please include: 1) a cover letter, 2) CV, 3) a 1–3 paragraph summary of your PhD work and your role, and 4) names of three references
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candidates with a recent PhD or MD/PhD in biomedical sciences Significant experience in immunology, molecular biology, and biochemistry are encouraged to apply. Technical experience in immunology and methods
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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methods for multi-omic and single-cell data Integrate diverse molecular data to study tumor evolution and therapeutic response Collaborate with MD Anderson clinicians and basic scientists Investigate
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The Center for Interdisciplinary Cardiovascular Sciences (CICS), directed by Masanori Aikawa, MD, PhD, at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral research
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on track to achieve their career goals. The candidate should have a PhD and/or MD in bioengineering, immunology, cellular/molecular biology, cancer biology, or related field, and experience in wet lab