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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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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement data
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the interface between nanotechnology, molecular self-assembly, and plasmonics, with a particular focus on DNA-based artificial molecular systems and functional plasmonic surfaces. The group is part of Aalto’s
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-sail payloads. Develop and implement detailed design concepts for the ESTCube-LuNa E-sail payload, including mechanical layout, tether deployment mechanisms, electronics, and spacecraft interface design
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mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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development and interdisciplinary learning at the interface of structural engineering and fire safety engineering. Within Aalto’s broader community of students, researchers and other professionals, you will
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. The position provides outstanding opportunities for professional development and interdisciplinary learning at the interface of structural engineering and fire safety engineering. Within Aalto’s broader