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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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implementations. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing industry actors with practical
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Accessible Tinnitus Notch Noise Therapy via Machine Learning, Acoustic Metamaterials and Additive Manufacturing (with NHS and TinnitusUK) EPSRC Centre for Doctoral Training in Sustainable Sound
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essential, and experience integrating multimodal data (e.g., imaging and genomics) will be especially useful. Experience using advanced analytical approaches, such as machine learning or network analysis, is
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and computational methods to real-world economic and policy challenges. In particular, the following requirements apply: PhD in Economics with a demonstrated specialization in Machine Learning and Big
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pursuing a PhD in computer science, mathematics, physics, or statistics. At Jane Street, we take a rigorous, quantitative approach to trading on global markets, combining techniques from machine learning
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem. Required knowledge A solid grounding in machine learning
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Job Description Apply now Req Id: 39446 Job Title: Managing Director, Purdue Military Research Institute (PMRI) City: West Lafayette Job Description: Job Summary This is a high impact leadership
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80