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total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of
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answering mathematical questions. You have a solid background in one or more of the following: functional analysis, numerical analysis, differential geometry, theoretical machine learning. You are motivated
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cannot be overstated. Using the power of Machine Learning (ML) models, our project will examine financial investments and credit risk indicators. While these AI techniques have found widespread application
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for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance
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control systems. You have skills in data analytics/machine learning: proficiency in data processing, analysis, and interpretation to develop predictive models and optimize manufacturing processes. You have
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-based monitoring approach to characterize melt pool spatio-temporally as well as spectro-thermally, Develop algorithms for sensor fusion using Artificial Intelligence/Machine Learning concepts to optimize
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present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of researchers and
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for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance
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methods to scale up deep learning. Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine Learning, JMLR). Collaborate
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consumes several orders of magnitude higher energy than the honey bee's brain. Neuromorphic devices are seen as the way forward towards more effective and more efficient machine learning. However, current on