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interface and all the way quantum algorithms and applications. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . For further information
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objective of the project is to develop knowledge, models, and algorithms for physics‑informed autonomous control of heavy machinery in uneven and deformable terrain. Specific project tasks include fundamental
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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vulnerability with respect to a DES property of interest; and (iii) testbed demonstration of any developed modeling techniques and algorithms. Responsibilities and Duties Interdisciplinary research on CPS
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in
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-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
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techniques and algorithms to be used in the field of optical communications, with particular focus on quantum systems Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni