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depends on the background of a suitable candidate. The main topics of the group in the past few years were generative modeling, 3D reconstruction, image-editing, and deep learning using 3D data. More
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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level or Engineering Degree in health data science, bioinformatics or biostatistics Expertise in machine learning / deep learning algorithms (supervised and unsupervised methods) Knowledge in diabetes
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understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands-on skills in Python-based AI
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or equivalent Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications Skills in acoustics (PhD in acoustics required) and acoustics software. Skills in machine learning and deep
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large team of scientists interested in the foundational issues of Artificial Intelligence and Deep Learning. For further information about Mathematical Sciences at the University of Southampton please see
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; proficiency with deep learning frameworks (e.g. PyTorch); experience with model deployment using Docker, Kubernetes, or similar; and excellent communication ability to convey complex technical work to non
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of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong combination of academic and industry
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent