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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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new member for our working group “Process Engineering for Fiber Plants” in the department “System Process Engineering”, starting on April 1, 2026. Scientist (for PhD) (m/f/d) In the DFG-SFB, coordinated
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success. Work with technical architects on the team to validate design and implementation approach. Take ownership of architecture design and development of scalable and distributed software systems. Own
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
Master's degree, Engineer's degree, or PhD in computer science to join a team responsible for the packaging, deployment, and testing of software libraries for high-performance computing (HPC). This position
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environment, and climate change. Requirements A PhD in Wind/Civil/Structural Engineering or a closely related field (e.g, Environmental Engineering, Mechanical Engineering, and Aeronautical
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Application Further information on the posts and the University is available at http://www.cityu.edu.hk , or from the Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee
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and curate software, datasets, and other resources for the community. Collaborate on the design, implementation, and refinement of tools for formal mathematics. Foster connections across disciplines
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
Environmental Sciences (CAES) has a rich history of innovation and application of cutting-edge technology. From our pioneering Laboratory Animal Science and Landscape Architecture programs to our award-winning
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communication - from long-haul transmission to datacenter interconnects - we tackle real-world challenges at every scale. We’re a collaborative research team, where PhD students and postdocs work alongside senior
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the development of high-fidelity multiphysics models of existing research infrastructure, as well as novel system architectures and emerging energy concepts under investigation. A central component of the position