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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
additional days per year, including your birthday Minimum Requirements: PhD in Engineering Experience in Machine Learning, Deep Learning, reduced-order modeling, or physics-informed models Knowledge
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications - Inteligencia Artificial y Aprendizaje Automático: Conocimientos en modelos de IA, Machine Learning y Deep Learning. Se valorarán muy
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research career. Research and technical training Training will include hands-on work in the following areas: Developing and validating deep-learning and machine-learning models using echocardiography
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Employer https://main.hercjobs.org/jobs/22419032/postdoctoral-researcher-lab-scientist-deep-phenotyping Return to Search Results
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, computational physics, or a related field; • Strong background in machine learning, probability, and statistics; • Proficiency in scientific programming with Python and deep-learning frameworks such as PyTorch
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through collaboration, innovation, and excellence. To learn more about our mission and work, please visit https://erik.osu.edu/ . Position Mapping Function: Business Planning and Operations Sub function
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for a PhD project focused on advancing the design and functionality of deployable structures through the integration of 4D printing, architected materials, and scientific machine learning (sciML). A part
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, working under the mentorship and guidance of Associate Professor Courtney Fung, PhD, and Honorary Professor Bates Gill, PhD. The fellowship is structured across two areas: - 80% Research (approximately four
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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
into resources that can be used for machine learning. The PhD will therefore investigate multimodal approaches that connect visual sign-language information with textual representations under low-resource