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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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will assist in the design and testing of the leaf replica, whereas the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new
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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 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