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construction machinery to improve efficiency, adaptability, and safety under varying operating conditions. The work will involve designing and prototyping intelligent control algorithms, developing runtime
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Communication models within timing constraints in quantum applications Algorithms and protocols for joint transfer of digital data and entanglement Networked quantum sensing supported by distributed classical
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. We aim to push the limits of sensitivity and spatial resolution in quantum metrology using novel schemes while developing robust sensor platforms for real-world applications. As a PhD student in our
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of micro- and nanotechnology-based sensors, detection systems, drug-delivery devices, and energy materials. Responsibilities and qualifications You will be responsible for handling blood samples
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descriptions, the candidate will develop detailed mode-, simulation, and data-based control strategies to carry out the required production operations, including multiple robots, tools, and sensors. Facilitating
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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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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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and nanostructuring, all guided by advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You
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Job Description A two-year postdoc position is available in the research group of Algorithmic Cheminformatics at the University of Southern Denmark (SDU). The position is in an exciting 6-year
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field