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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in mapping current and novel soil health indicators, starting 1 January 2026 or as soon as possible
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research in the field of advanced onboard data processing architectures for space systems. In particular, one of the two following topics might be considered as the objective of this Research Fellowship: (a
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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— which is a fundamental Partial Differential Equation (PDE) that captures the time evolution of probability distributions in systems driven by stochastic processes with Brownian motion. It plays a crucial
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existing funded grant projects related to transport packaging, protective packaging, and distribution dynamics. Additionally, the postdoc will support developing and submitting new research proposals
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., crowd sourced data or from mobile and distributed instrument networks) Assess the performance of next-generation predictive urban climate models using observations Develop new visualization strategies
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participating in the training and management of PhD students. Solid-state spin- photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. For example
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of Information-Oriented Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience