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Field
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for position as PhD Research Fellow in space science available at the Department of Technology Systems. Preferred starting date is Autumn 2026. The fellowship period is three years. A fourth year may be
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Rankings 2026. Together with our commitment to academic freedom , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration
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of Rubidium and Potassium on the international space station ISS. Your responsibilities: - scientific service in research in the BECCAL project for the realization of a user-facility for ultracold quantum
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-cold quantum gases of Rubidium and Potassium on the international space station ISS. Your responsibilities: - scientific service in research in the BECCAL project for the realization of a user
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assimilation, both in the context of meterology and elsewhere Read, understand, and summarize the latest literature on inference in state-space models with particle filters Devise, implement, and inspect
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computational facilities. Fellows will be appointed for a term of up to 3 years. They will receive salary and research support, office space, compute resources and engineering support. They will benefit from a
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support provided by satellite laboratories at the University of California at Berkeley (USA), Toyota Central R&D Lab., and ISAS at the Japanese space agency JAXA. These programs are designed to bridge
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, brand identity, and interactive projects for screens, devices, and space. Build physical and digital models and prototypes to explore and validate design directions. Align with proposed design direction
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 11 hours ago
opioid overdose spaces. Under the guidance of a mentor, you will help in the development of quantitative systems pharmacology models and become efficient in using various computing languages, such as R, C