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Are you pioneering molecular tools and applying advanced imaging strategies to uncover how microbial communities are organized and interact in space and time? If so, we invite you to join The
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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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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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both microscopy operation and setting up imaging analysis pipelines. The successful candidate will play a crucial role in supporting our research projects by conducting experiments, analyzing data, and
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? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
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advanced imaging strategies to uncover how microbial communities are organized and interact in space and time? If so, we invite you to join The Swammerdam Institute for Life Sciences , within the Faculty
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important question to solve, as DNA damage-stalled RNA polymerase causes bigger problems for the cells than the actual DNA damage itself. In this project we will use innovative single molecule imaging
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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Nature of the Netherlands, Wageningen University, and Wageningen Marine Research. It aims to develop: (1) a validated prototype of an instrumented beam equipped with a multi-channel flatfish detection
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sustainable deep-drawing processes for downgauged, recycled-content aluminum trays. The Challenge Precision-formed aluminum trays are indispensable in high-specification packaging for medical, pharmaceutical