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Field
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"Multiscale imaging of organ-specific inflammation" (https://www.uni-muenster.de/CRC-inSight/research/area-A/A05.php ). Within this Centre, we are working together with Computer Science and Applied Mathematics
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for children and young adults. You are a creative and enthusiastic researcher with an MSc degree in Physics, Engineering or Biomedical Engineering, or similar. You have a clear interest in developing imaging
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22 Oct 2025 Job Information Organisation/Company Universidade de Vigo Department T13 Telematic Engineering Research Field Engineering » Communication engineering Researcher Profile Recognised
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 21 days ago
within a Research Infrastructure? No Offer Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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writing skills, showing the ability to process and communicate complex information effectively. Their curiosity about research methodology and open science practices drives them to experiment with new
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits