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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
dynamics and kinetic theory • Publications in rarefied gas dynamics or computational fluid dynamics • Experience with high-performance computing environments Preferred Qualifications • Previous work
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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License/Registration/Certification n/a Physical Requirements Some standing or walking. Sitting at computer workstation for extended periods. Repetitive motion. Lifting, pushing, or pulling of objects up
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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engineering, environmental engineering, applied mathematics, and computational science. Access to state-of-the-art computational infrastructure and high-performance computing resources. Opportunities
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in organic molecules, inorganic materials, and hybrid organic-inorganic compounds. While its primary focus is on high-throughput structure determination of micro-crystals, the beamline has been
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high-performance computing, together with experience in transcriptomics data analysis and computational biology. Excellent communication skills, the ability to develop new research ideas, and a
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their respective fields. About the position You are tasked with completing your doctoral thesis and your doctoral degree in accordance with the curriculum of your doctoral programme. Your duties may also include
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How to best incorporate New Genomic Techniques to solve challenging issues