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international conferences to present your own work, and learn about state-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
of these technologies, together with their expected end-of-life, the project will estimate recycling requirements and reuse rates of critical raw materials. Future energy transition scenarios will also be incorporated
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC (https://www.ipac.caltech.edu/ ), part of the Physics
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 days ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Selection process Website for additional job details https
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(https://jobs.uni-siegen.de/job/Researcher-57076/1274979901/ ). Where to apply Website https://jobs.uni-siegen.de/job/Researcher-57076/1274979901/ Requirements Research FieldComputer science » Computer
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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private domains. Our team combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods Assists research, senior research, and/or lead research data scientists and principal investigators