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Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Unravel storm–lake coupling at fine scales. Change: Combine unique observations and cutting edge models
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-cell sequencing and spatial transcriptomics is preferred. This position will be an excellent opportunity to gain experience performing basic and translational research using patient-derived specimens and
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the glycocalyx components. However, the physicochemical characteristics of these interactions and the spatial organisation of the glycocalyx remain poorly understood at the molecular level, as does how they shape
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. Ali Bashashati). Responsibilities Designs and implements machine learning models for bulk and single-cell genomics and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue
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Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic