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Field
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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., gravity field, magnetic field, seismic measurements). These measurements are often sensitive to various interior properties and when taken separately provide only a partial picture of the interior. Still
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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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to study how exploratory behavior impacts perception! And design multisensory EXPLORA kits with your team to show the world what light and materials can do. Job description Two PhD projects (nrs 10 and 13
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can navigate institutional complexity to foster institutional change that supports a demand-shaping paradigm. The PhD researcher will: Conducting institutional analyses on the organizational and
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to change that. Working closely with chemists, we have developed mechanosensing chemistry that enables soft materials to “report” their internal stresses directly through imaging. In this PhD project
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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
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separately provide only a partial picture of the interior. Still, this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate to join
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? No Offer Description We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm