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Field
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contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will characterize paralogue expression profiles, cellular
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Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily available. In addition, we have access to the biophysical
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of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
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to the nanometer scale. Project background Chirality describes whether an object is non-superimposable with its mirror image. Despite being a purely geometric property, chirality plays a crucial role in all living
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are building a small expert team within Elvan Böke Lab at the CRG to tackle fundamental questions in female fertility and
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. Collect and analyze data from diverse sources, including plant- and soil-based sensors, images, 3D point clouds, remote sensing, environmental variables, physiological measurements, and management records
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 22 days ago
Job Code: 15/2025 Job Offer from September 09, 2025 We, the Max Planck Institute for Medical Research, are one of 84 institutes and research centers of the Max Planck Society (MPG
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scientific skills for image analyses and opportunities for students to attend relevant workshops and conferences in the field of imaging, neuroscience, and aging. We also encourage students to upskill
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in