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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 5 days ago
to acquire, summarize and report research data for scientific communication. Gain regulatory science knowledge relevant to cellular and gene therapy products. Mentor: The mentor for this opportunity is Zhaohui
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application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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team meetings and oversee and train research assistants - Oversee regulatory activities such as IRB submission and reporting to funding organizations - Assist with data management - Analyze quantitative
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facilities and heritage railways. Responsibilities will include coordinating demonstration logistics, collecting and analysing experimental and operational data, evaluating machine performance, and preparing
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu
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@ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . About the program/department/team For information about the program, Department, and teams, please visit our
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) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies. Working within a multidisciplinary
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order to ensure continuous development of knowledge in the subject area. We offer a supportive research environment, where you can join external networks to share information and identify potential