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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
protein candidates by structure-guided design and high-throughput screening. Apply new artificial intelligence and machine learning techniques to guide protein engineering design. Analyze experimental
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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machine learning models for the diagnosis of temporomandibular disorders (TMD) based on jaw motion time series data. Moreover, the successful candidate will be affiliated with the Comprehensive Center AI in
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s
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biology, supported by a dedicated new Data Centre with the very latest, future-proofed computational infrastructure and support in artificial intelligence and machine learning. The HP3 investment builds
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Machine Learning - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from