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Field
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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metrology and biomedical imaging through synergistic work performed by different teams in the lab. Our research projects combine and elevate state-of-the-art technologies including but not limited to optics
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implementation of reconstruction algorithms and image processing pipelines. Experience with experimental optical systems, including optical alignment, calibration, and performance evaluation. Experience in
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differences are sensed and integrated with developmental programmes. The work will focus on mechanisms operating at the interface of root tissue organisation, signalling pathways and environmental constraints
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The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat
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environment in which people treat each other with respect and dignity, regardless of roles, responsibilities or differences. Providing support, direction and resources enabling us to accomplish the
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click here . About the role We are seeking a highly motivated and
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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake