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the forefront of science. The PhD project benefits from ongoing collaborations with research institutes, academic hospitals, and bioprocessing companies. Publications about the BPM sensing technology are listed
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Particle Motion. The long-term goal is to develop a fast and flexible workflow for the rational design of continuous biomolecular sensors for diverse applications. The project is a collaboration between the
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scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration with other scientists at TU/e and more recently within the newly
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relationship between DNA methylation variants and gene expression. In a collaborative project between the Netherlands Institute of Ecology (NIOO-KNAW) and Utrecht University (UU), we will tackle these challenges
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, reports and other deliverables; good analytical, writing and presenting skills; fluency in English, both written and spoken, and the willingness to learn Dutch (in case you are not a Dutch native speaker
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; Flexible, readiness to interact and/or collaborate with other researchers; An open mind regarding mathematical projects; Professional command of English and the willingness to learn Dutch; A willingness and
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of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
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embedded in the multidisciplinary Bioelectronics research team at TU Delft and collaborate with researchers working on organic bioelectronics, neural interfaces, conducting polymers, microfabrication and
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to the development of new theoretical understanding of sediment-rich estuarine systems and will collaborate closely with other PhD candidates and postdoctoral researchers within the iMose project. Strong interactions
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing