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hardware/software systems. Operating Systems and Systems Software – including operating systems, file/storage systems, AI/ML systems, distributed/cloud/mobile systems, secure/reliable systems, big data
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 12 hours ago
of computed and experimental spectra and morphological data. Develop software tools for modeling the emission spectra of nanograins using the spectral and morphological data and for comparing with
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into an action–perception loop that drives the optical tweezers Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope Integrate your software
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skills and knowledge of Energy Management Software Systems. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable
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2026 (September-November) and Winter Term 2027 (January-March). We seek a composer working with music notation (broadly defined), music/sound creation software and programming environments, and
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accounting system to ensure internal and external compliance. Use various software applications, such as spreadsheets, relational databases, statistical packages, and graphics packages to assemble, manipulate
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tasked with developing and implementing new efficient numerical methods for high-frequency wave propagation problems in the finite element open-source software FreeFEM developed at Laboratoire Jacques
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experience and/or relevant industry expertise in one or more of the following areas: Software Engineering Data Analytics and Artificial Intelligence Cybersecurity Cloud Computing IT Entrepreneurship As a
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning