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You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH career development resources The working language is
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extraction, alignment, QC metrics, drift/batch correction) and reporting. Advance annotation strategies using modern approaches such as spectral/structure fingerprinting, molecular networking, in-silico
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in the fulfillment of tasks Good communication skills, including excellent knowledge of spoken and written English (II) Desired skills and qualifications: Familiarity with analysing travel behaviour
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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statistical modelling; familiarity with or interest in machine‑learning approaches is an advantage, but not a requirement. Excellent written and spoken English communication skills. A genuine interest in