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Field
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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
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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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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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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behavior Skills: Basic molecular biology techniques and experience with imaging. Previous experience in animal surgery is desired but not necessary. Where to apply Website https://emploi.cnrs.fr/Candidat