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bring strong research expertise and strong technical skills within remote sensing and ecology, notably lidar processing. The successful candidate should have: Required: A PhD degree with a publication
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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. For example, tsunami damage to nuclear reactors in Fukushima Japan in 2011 led to a radioactive cloud that dispersed I-131 across the northern hemisphere. Iodine was also released during past nuclear tests in
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discovered Cepheids in double-lined spectroscopic binary (SB2) systems in the Milky Way and the Magellanic Clouds. This work aims to significantly increase the sample size of binary Cepheids with measured
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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engines and natural cirrus clouds, hours to days after the emission. You will have, or be close to completing, a PhD in climate science, meteorology or related fields. Ideally, you will also have strong
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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- Conference travel support - 1-year contract, renewable (up to 3 years total) - Cloud compute provided by Nebius Requirements: - PhD in Mathematics or Computer Science - For existing projects: willingness