21 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Nature Careers in Luxembourg
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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to droughts and heatwaves, which in turn feedback to the distribution of species, modulating the long-term ecosystem resilience to environmental changes. In this framework, the objectives of your research
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surface properties. Many of these properties are believed to represent adaptations to specific environmental conditions, resulting in distinct distributions of certain combinations of leaf properties
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unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment. Building on strong
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curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50
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to represent and manage normative conflicts in financial regulatory contexts Designing formal models for normative reasoning and formal and computational argumentation Contributing to the integration of symbolic
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft
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Environmental behaviour o Spatial analysis applied to territorial/regional planning Technical and soft skills · Basic computer skills (Word, Excel etc.) · Proficiency in statistical analysis
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics