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Applications are invited for a 23-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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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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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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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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: 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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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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. 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 IT infrastructure ranging from IoT systems to networks to high-performance computing (HPC)? The TECH Faculty hires additional employees for the TECH Research IT (TRIT) team
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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