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, entitled "Patient-specific hydrogelbased corneal augmentation for vision restoration" is to restore the vision of patients by using an advanced optical system capable of preparing and processing the cornea.
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(no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading
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@math.ethz.ch] (no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. We offer Your job with impact: Become part of
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greenhouses in combination with some field work to: (i) monitor the leaf spectral and metabolomic responses of ash trees attacked by EAB, (ii) use these response signals to distinguish EAB-induced stress from
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Energienetze - FEN ) via e-mail (demirayt@ethz.ch ). More information about the Center is available at our website . We would like to point out that the pre-selection is carried out by the responsible recruiters
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transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq to complex in vivo environments (Schmidt
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system capable of preparing and processing the cornea. In this project, the postdoctoral candidates will be responsible to develop an optical coherence tomography (OCT) integrated with a laser ablation
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. Empa is a research institution of the ETH Domain. The Empa Laboratory for Cellulose & Wood Materials (WoodTec group) explores sustainable wood processing and innovative applications of wood materials
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terrestrial environments. Key processes governing the transport and (bio)availability of these polymers—such as their adsorption to solid–water interfaces—remain poorly understood. In this new joint initiative
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic