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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
entanglement on a robust, chip-scale architecture. 2. Background and Relevance to NASA This research directly supports NASA’s mission to develop disruptive technologies for the Integrated Network (IN) and
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, that the immune system plays in cancer. While robust immune responses are required for sustained protective anti-tumor responses, tumor infiltrating CD8+ T cells which have the potential to control tumor growth
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on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust
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Experimental experience in academic research lab environment Conduct research including modeling, simulation, and analysis Development of robust, multi-variable controllers for complex multi-physics systems
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control and mathemathical statistics is strongly desired You have documented potential in research and education, shown through publications, projects, or teaching activities You are somewhat accustomed
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 10 days ago
be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility
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involve the study of non-equilibrium many-body physics. Preference will be given to applicants with expertise in quantum information theory, quantum control and/or advanced numerical methods to simulate non
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing (HPC
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing