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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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real or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field. • Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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innovation, building a profile that combines deep methodological expertise with exposure to real-world technology development. Recent related references: Lesur A, Schmit PO, Bernardin F, et al. Highly