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treatments. Sophisticated technologies such as 3D tissue imaging, molecular profiling are combined with AI tools to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Introduction
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Computer Engineering, Computer Science, or a related field from a prestigious institution. Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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, therapeutic resistance, and tumor–immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers
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subsystems and compute fabrics for 2.5D/3D microsystems, enabling scalable, high-bandwidth integration across AI, HPC, and wireless acceleration platforms. This includes defining architecture specifications
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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candidate will contribute to ongoing projects with applications in microelectronics, data analysis, PCB design, and 3D printing technologies. This position offers the opportunity to work closely with a team
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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