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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Computational Imaging research group for a talented PhD student (m/f/x), on the subject of: Fast and low-dose medical imaging using multi
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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; For remote sensing, design and validation of on-board processing functions/algorithms for payload data products, image processing and optical payload data compression; Related end-to-end performance assessment
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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complex systems and their role in the evolution of life. One of the key features of life is the presence of its essential molecules, such as amino acids, proteins, sugars and DNA, as a single mirror image
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connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different platforms, particularly through images and videos. You will
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platforms, particularly through images and videos. You will explore how brand narratives evoke emotions, build relationships, and influence consumer decision-making. By leveraging insights from behavioral
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extensions Communication, artificial intelligence, GNSS and/or image or video processor architectures Ethernet, PCIe, JESD204, SpaceFibre, SpaceWire, CAN and MIL-STD-1553 interfaces System level modelling with
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab