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and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging
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. You will work in an interdisciplinary setting to identify microbial species, metabolites and genes that mediate microbiota–immune interactions, generating knowledge that can support future interventions
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transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan grid
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for the next generation of commercial aircraft, combining excellent mechanical performance with low weight. In addition, their melt-processable matrix enables automated, high-rate manufacturing of components
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scales using hyperspectral earth observation data. Within the ASCENT project, you will work as a PhD candidate in an interdisciplinary consortium with remote sensers, ecologists, data scientists, and
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control of neuronal survival in Parkinson's disease (PD). Neurons in the substantia nigra pars compacta are selectively lost as PD progresses. Our work on the BCL2 protein family has identified MCL1 as a
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generation of commercial aircraft, combining excellent mechanical performance with low weight. In addition, their melt-processable matrix enables automated, high-rate manufacturing of components that can
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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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devices behave. In contrast, at the macroscopic scale, quantum effects are elusive: the macroscopic world seems to follow instead the laws of classical physics. At an even deeper level, despite work of 100
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applications. Researchers in the department are on one hand active at a fundamental and theoretical level, and, on the other hand, work on applications with links to business, the sciences, and societal issues