926 computer-security-"https:"-"https:"-"https:"-"https:"-"CUBO"-"CUBO" Postdoctoral positions in United States
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data, and coordination of good lab practices and lab safety. Required Qualifications PhD in the area of protein biochemistry, cell & molecular biology or closely related fields Experience and design of
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NIH salary guidelines, Depends on Experience Compensation Type salary at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security
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The Microsystems and Nanotechnology Division at the National Institute of Standards and Technology (NIST), Gaithersburg, MD, is seeking postdoctoral researchers highly motivated to develop next-generation Microphysiological Systems (MPS)/Organ-on-a-Chip (OoC) with integrated sensors. In our...
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this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have
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. Renewals will be dependent upon program needs, funding, and performance. Salary will be dependent upon education, experience, and available funding. Possible research areas encompass program development
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and lead and support advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute
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of study, both on a computer and aboard ship, as assigned. Prepares technical reports and scientific papers for publishing. Maintains and applies a substantial knowledge of state-of-the-art observations
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or visit OEA . In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer
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and provides training to junior- and mid-level technical support staff, graduate students, and/or undergraduate students. Follows appropriate laboratory safety procedures for handling, disposing of and
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning