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Field
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) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system/grading-system ) have a
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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the heart. The project offers opportunities to work across multiple disciplines, including: Machine learning and artificial intelligence Biomedical signal processing Computational modelling Clinical
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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the signing date of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining the appropriate profile for the activity to be developed, the following
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physical effects. The research activity will also involve the study, simulation, development, and experimental validation of signal-processing techniques and electronic circuits, with particular attention
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interaction maps with mammalian cells 2. DNA-based artificial cells and molecular computing We will engineer DNA-based artificial cells and condensates that can sense, process, and respond to molecular signals
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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the operational state of buildings from acoustic and complementary sensor data. By combining multi-microphone acquisition techniques with additional sensing technologies, advanced digital signal processing and
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processing with light. Near a continuous phase transition, the susceptibility of a material can increase strongly. This allows weak input signals to generate large responses, which can in turn reduce the