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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr
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ranking 2025). We are now looking for a: Doctoral Researcher We are looking for a doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied
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Processing, or a closely related field, completed by the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar
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., 1H/13C/ 2D NMR, AFM, DLS, GPC, FTIR, zeta potential) with molecular modeling and machine learning Collaborate with international academic and industrial partners Who we’re looking for A curious
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computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial intelligence for
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science, communications engineering, telecommunications, or a related field (with a CGPA of at least 4/5) Experience (e.g. coursework, projects, etc.) in AI and machine learning, including understanding