42 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in India
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investigating the differences and similarities in cell cycle dysregulation between different cancer types. For more information please visit https://www.barrlab.com , see this article , or contact Alexis Barr
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of medical 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
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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 information, please visit
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must submit online applications via the BRIC-CDFD website at http://www.cdfd.org.in. Review the full advertisement and terms before applying; visit the site for complete details. Deadline: Date
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, multimodal sensing, 3D packaging) Alternative Computing (neuromorphic, chaos-based approaches) Apply via IISc’s portal: https://www.cense.iisc.ac.in/opportunities/ CeNSE actively encourages applications from
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. You should apply if You hold a PhD in Economics or a closely related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly research. You demonstrate
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education/experience. Demonstrated ability to communicate effectively orally and in writing. Experience with computer-based business information systems and experience utilizing spreadsheets, databases, etc
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collaboratively, Human Resource Services provides expertise and best practices in all areas of human resource management including recruitment, retention, employee relations, learning and organizational
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
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, convolutional and recurrent architectures, and transformer-based models, as applicable to biological, imaging, and multimodal data Hands-on experience with machine learning and deep learning frameworks (e.g