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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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Karttunen, and Prof. Kari Laasonen, who will supervise the postdoc positions advertised here. We are seeking candidates with expertise in one or more of these areas: Machine-learning interatomic potentials
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made significant progress in this direction by merging machine learning interatomic potentials (MLIPs) trained on density functional theory (DFT) data, and enhanced sampling techniques to reach the
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). Optics (light–matter interaction, design of optical imaging systems). Machine vision (including hyperspectral imaging and image analyses). In addition, we value: Strong communication skills. Excellent
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University of Applied Sciences (UAS) degree, or equivalent expertise in engineering, data science (e.g., AI or machine learning), design and service design, clinical practice, life sciences, business
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ambitious team of researchers. Aalto offers a vast array of professional development opportunities to grow and learn based on your interests and needs. We offer a fixed term contract initially for 2 years