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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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, adversarial attacks, and realistic downstream processing such as mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source
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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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., 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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events and the climate. The doctoral researcher will be working on the AI-Dream project. They will have to develop criteria and evaluation suites to test the “physical” accuracy of deep Machine Learning
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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, differentiable augmentation tools, and realistic attack scenarios for audio watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing
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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