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, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not. Our vision is
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for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Job Description The Digital Building Technologies (DBT) Section at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate
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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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8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
a Research Infrastructure? No Offer Description The Digital Building Technologies (DBT) Section at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled
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experiments, as well as for its applications in medical imaging. For that, it collaborates with MedAustron, an ion cancer therapy and research center. Within this collaboration, we design and develop ultra-fast
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develop a radically new paradigm for human control of complex robotic systems with high levels of agency and minimal cognitive effort. The lab is looking for candidates for the following stipend: PhD
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed