5 machine-learning-and-image-processing PhD positions at Nature Careers in Luxembourg
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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focus on research and development in Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization (AP-MALDI) mass spectrometry and molecular imaging, using high-resolution Orbitrap MS instrumentation
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carbide. Like a classical System-on-Chip, it will integrate separated processing and memory units, which communicate with photon-mediated entanglement. This milestone experiment will kickstart
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aspects. Quantum colour centres in in wide bandgap semiconductors have recently emerged as a promising platform, since they can incorporate quantum systems, which can be scaled up by industrial processing
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken