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of Research ExperienceNone Additional Information Eligibility criteria - Solid experience in microphysiological systems and/or tissue engineering. - Skills in micro- and nanotechnologies and/or 3D structuring
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition using light
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition using light
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, parental leave, duties in labor unions, etc. This position requires a Doctoral degree in one of the following fields: materials science, biomedical engineering, tissue engineering, immunoengineering
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in nature, and which require significant, in-depth knowledge of a specific area of science or engineering. The Lab Specialist will conduct complex research activities involving analysis and evaluation
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) and induced pluripotent stem cells (iPSc) as model systems, as well as human brain tissue. In the future, and as our research program advances, we will expand our toolkit to also include mouse work and
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in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about
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observations? And would you like to play a key role in advancing quantum science and technology research at DTU? At DTU Physics we are seeking talented postdoctoral researchers to develop new quantum diamond
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experience with the following is a strong positive: -Rodent handling -Histology or tissue processing -Stereotaxic injections or implantations in rodents -Immunohistochemistry -Confocal microscopy About the
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant