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methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the
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for Languages (CEFR). Knowledge of Python programming. Knowledge of JavaScript. Practical experience in artificial intelligence, machine learning or deep learning, in academic or business environments. Training
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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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pipeline engineering Strong proficiency in Python development practices and deep learning frameworks, specifically PyTorch and MONAI Practical knowledge of computer vision, pattern recognition, and image
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needed for the role: · Demonstrated commitment to living out and upholding the University’s Christ‑centered mission and values. · Advanced knowledge of artificial intelligence, machine learning, deep
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of interest supporting the instructional needs in our major, minor, and university-wide electives. Specific areas of need are spreadsheet modeling and analysis, machine learning, and project-based capstone
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
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-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant
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computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals. Required Skills Technical
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity