11 phd-computational-intelligence-"University-of-Exeter" PhD positions at Nature Careers in Luxembourg
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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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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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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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and ecohydrology would be ideal but is not required. Experience in big data analysis, data science methods, Machine learning and/or artificial intelligence would be a strong asset. ·You enjoy both
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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spin-photon entanglement. With this milestone demonstration, we strive to kickstart subsequent developments towards a quantum internet architecture. The objective of this PhD thesis is to demonstrate
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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
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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