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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory
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matrices, stochastic differential geometry, stochastic partial differential equations, Malliavin calculus, and related topics in analysis and geometry. Qualifications Applicants should hold a PhD degree in
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microstructural disorder, with the aim of uncovering how microstructure geometry fluctuations, heterogeneity, and collective behavior influence damage initiation and crack propagation. The position will focus
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: Probability Theory, Geometry and Analysis Appl Deadline: 2025/09/25 11:59PM (posted 2025/08/25, listed until 2025/09/25) Position Description: Apply 2025/09/25 11:59PM Position Description The Department
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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that fund more than 70% of the department’s activities. The department provides expert advisory services to ministries and authorities. While we do not run a master’s program in environmental science, there
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the period of the assistant professorship. Teaching Applicants will be expected to teach and supervise across all levels of degree programmes at DPU, in particular on the Master’s degree programme in ICT-based
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lab meetings, discussing relevant literature, and co-authoring papers. The project is interdisciplinary, with ties to media studies, information science, and economic sociology. The successful applicant