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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing applications. As AI models continue to increase in size and computational complexity
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Will your multiphase models shape the energy transition? Job description The research programme CO2URAGE, funded by the Dutch funding organisation NWO in the framework of the Perspectief Programme
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of our PhD community. This is what you'll be doing You'll work on modelling and monitoring of pollinators in Dutch landscapes as part of an EU-funded Life project PolliNature. In this project, several
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Particle Motion. The project includes nanoswitch design, sensor fabrication, sensor testing, and modelling. The longterm goal is to enable multiplexed continuous real-time sensing for applications in
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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to develop engineering interventions to improve plant regeneration, seed longevity and defenses against disease. Your task will be to further develop two-dimensional and three-dimensional models of plant
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agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative