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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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materials and evaluate various electrocatalysts develop a laboratory prototype cell setup suitable for scale-up publish results in international journals develop market for electrolyzer technology
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protocols for diverse model organisms, with general supervision. Perform hands-on bench research, including tissue preparation, sample processing, and microscopy imaging to generate high-quality datasets
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, Integrated sensing/memory/logic materials, Synchrotron light source techniques, Machine-learned force field development, Technology computer-aided design, AI hardware accelerators, Augmented reality hardware
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pivotal role in designing, implementing, and operating an AI-driven autonomous laboratory from the ground up. Key areas of responsibility Prototype and Build the Autonomous Lab: Partner and execute
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
respecting the specific constraints of emergency situations. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted
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of the facility is 1) high-throughput, high-quality data collection on user-provided ready-to-image cryo grids utilizing either single particle or cryo-electron tomography; 2) use the cryo FIB-SEM system to mill
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fly or mouse embryos using confocal microscopy and time-lapse imaging Assist with the design and engineering of fly or mouse lines using CRISPR/Cas9 methods Assist with the maintenance of collections
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with