266 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" Postdoctoral positions at Nature Careers
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mission is to transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre (HDSC) at HT has been planned in partnership with Politecnico di
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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motivation to work on ultrafast spectroscopy, postdoctoral fellows should have an interest in working on biomedical problems. Contact Further information about the position may be obtained from Associate
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publications. For further information, please contact Prof. Dr. Anna Kornadt ( ) Your profile Ph.D. in psychology or a closely related discipline Strong interest in interdisciplinary research at the intersection
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of high-dimensional single-cell data, the lab aims to reconstruct accurate cell-lineage trees and use them as a scaffold to map genome-wide regulatory dynamics across development. The lab is highly
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project