92 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Stanford University
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and make sue of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required Qualifications: Ph.D in some area of immunology Enjoy collaborative work and
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. Requirements are a Ph.D. in immunology, publications and a willingness to learn and make use of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required
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particularly interested in leveraging the current technologies emerging in the stem cell field to develop more efficient and effective stem cell-based therapies for spinal cord injury, stroke, vascular dementia
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analyses to determine how innate immune signaling dysregulates organization of the extracellular matrix in the developing lung. There will be opportunities to collaborate with a variety of scientists and
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: $73,800 and $75,443 The Black Academic Development Lab at Stanford University, Anne H. Charity Hudley, Ph.D., PI, seeks to hire a postdoctoral fellow in the language, literacy, and culture of African
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the function of such metabolites, with implications for developing new therapeutics. We welcome applicants with a background in microbiology, immunology, chemical biology, pharmacology, or cell biology to
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microRNAs regulate immune responses and 3) the genetic diversity of EBV and impacts on host immune response. There is also the opportunity for the candidate to develop an independent area of research
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publication, train and mentor graduate students on molecular techniques, and assist with proposal writing. The successful candidate will be encouraged to submit the output of their work to scientific
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following hematopoietic stem cell transplantation. Our group works on developing targeted tools which abrogate impairments in mitochondrial dynamics as therapeutic candidates for the treatment
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact