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mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat
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the fellow to gain advanced experience in digital signal processing, underwater acoustics, estimation theory, localization based on time-difference-of-arrival (TDOA), and data analysis from distributed
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may address, but are not limited to: Communication, interaction, and counselling processes in special needs education Counselling to support inclusive education, participation, and equitable educational
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the North Sea are promising for both hydrocarbons and CO2-storage, the Triassic is underexplored in the Norwegian sector. The geological processes controlling the development of the Triassic depositional
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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crown materials with established CAD/CAM resin-composite or hybrid materials and ceramic references, including lithium silicate/lithium disilicate where relevant. Materials will be processed according
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- COMPETE2030-FEDER-00728700, funded by the Foundation for Science and Technology | FCT, through the Innovation and Digital Transition Program | Compete 2030, Competition for R&D Projects in All Scientific
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31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB
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producing reports and scientific papers. Minimum requirements: Knowledge of digital signal processing, data analysis, and signal or data compression methods; Knowledge of mathematical and statistical signal
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genomes with a new time series of ancient killer whale genomes generated within the project. The tasks will include ancient DNA laboratory work, bioinformatic processing of Next Generation Sequencing data