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. Disseminate results through scientific publications. Present results in well-known international conferences and workshops Participating in outreach events related to antenna design, channel modeling, FPGA’s
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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; · Experience in using NMR, GPC, FTIR, DMA, dilatometry, DSC, TGA, or mechanical testing will be considered as an asset; · Notions in life cycle assessment (LCA) and the safe and sustainable by design
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on building AI skills, promoting trustworthy AI, and accelerating innovation through targeted training, micro-credentials, public engagement, and industry collaboration. Within this initiative, the Faculty
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platforms for advanced automation and control. You will be mainly in charge of: Designing and deploying edge-to-cloud automation solutions for real-time operation of active distribution grids Implementing
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Energy Group, as well as other industry partnerships or public research projects. This is a unique opportunity to contribute to cutting-edge research, exploring the design, implementation and instantiation
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a quasi-2D flow cell or induce rotational shear using planar or cylindrical substrates that confine the liquid. In addition to the design and physical assembly of mechanical components, the researcher
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the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate
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the Energy sector. Such a platform puts together multidisciplinary data and models covering different aspects of the energy transition, including energy infrastructure, market design, regulatory constraints