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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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Manufacturing and Machine Industry theme of the Aalto House of AI , led by Professor Ville Kyrki. The theme brings together robotics, machine learning, and electrical and mechanical engineering to work on
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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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, generative resynthesis attacks, adversarial attacks, and realistic downstream processing such as mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning
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Doctoral Researcher in Probabilistic Machine Learning Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving
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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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augmentation tools, and realistic attack scenarios for audio watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source
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. A strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is appreciated. Experience with programming and
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Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful