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single digital market for data; Address deployment issues of complex artificial intelligence models for real-world financial problems; Validate the utility of pioneering eXplainable Artificial Intelligence
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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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to staff position within a Research Infrastructure? No Offer Description This doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate
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of building a single digital market for data; Artificial intelligence for financial markets. Address deployment issues of complex artificial intelligence models for real-world financial problems; Towards
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artificial intelligence models for real-world financial problems Validate the utility of innovative explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworks
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to staff position within a Research Infrastructure? No Offer Description Artificial intelligence is increasingly being used in medical applications, supporting doctors and other medical professionals
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single digital market for data; Address deployment issues of complex artificial intelligence models for real-world financial problems; Validate the utility of pioneering eXplainable Artificial Intelligence
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(or the willingness and capacity to learn); You have the desire to conduct outstanding research and publish in high-quality Artificial Intelligence conferences and journals; You have a good team spirit and like to work
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candidate will work under the supervision of Dr. rer. nat. José A. Iglesias Martínez and prof. dr. Christoph Brune, as part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory