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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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be to quantitatively compare the predictions made by the digital twins of the patients' faces with the post-operative reality. - Collection and processing of post-operative scanner imaging data
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humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any
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-sensitive poly(amino acid) materials– a paradigm shift in delivering biocompatible devices” (reference Grant agreement ID: 101129842), supported by the European Commission under the program) HORIZON Research
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conductivity) of the different constituents is essential to supply material data to the digital models used to design industrial parts, and to understand their behavior under mechanical, environmental, and
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focusing on encapsulated cell-based therapies for the treatment of diabetes. This post-doc will lead the development of magnetic resonance spectroscopy (MRS) and imaging (MRI) methodologies and conduct non
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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will not process applications sent by email and/or post. As part of … Where to apply Website https://www.academictransfer.com/en/jobs/357575/postdoc-advanced-ultrasound-arr… Requirements Additional
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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https