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: Completed (before the position starts) PhD degree in Artificial Intelligence, or Software Engineering, or Computer Science with excellent grades. Hands-on experience with machine learning frameworks, such as
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equivalent degree machine learning or a related area, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been
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specific research questions. While the group has started to apply machine learning tools to a number of data sets, the seismic network still operates based on conventional tools. Objectives of this position
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(BCCR). The position is open to an incoming candidate, see LEAD AI mobility rules About the host research group and research theme Current data-driven Artificial Intelligence – Machine Learning (AI-ML
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Current data-driven Artificial Intelligence – Machine Learning (AI-ML) approaches to assess extreme weather and climate events struggle to cope with events outside their training regimes (such as
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that integrate expert knowledge early on, via machine-learning models and on-the-fly human intervention in the otherwise automated process. Through efficient design-synthesize-test cycles, we aim to arrive at
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machine-learning models and on-the-fly human intervention in the otherwise automated process. Through efficient design-synthesize-test cycles, we aim to arrive at highly potent inhibitors with properties
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) that employ artificial intelligence (AI). Central AI techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate
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, knowledge graphs, machine learning, and natural-language understanding. We investigate application areas such as digital multimedia forensics, decision making in health IS, personal data analysis, and
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the security of machine learning (ML) models against modifications by using the principles of differential cryptanalysis. 2. To analyze the security of ML models against attacks that aim to recover