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Field
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Engineering, Communication Engineering, Computer/Data Science, Mathematics or equivalents; – background in artificial intelligence, image/signal processing, remote sensing, passive/active sensors. Where
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
criteria Significant experience with confocal microscopy, and (plant) molecular biology. Selection process Please check out all the cool research projects in high resolution plant imaging of the nucleus and
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physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, applied mathematics, or in a similar field, or have completed at least 240 credits
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position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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visit: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Join us in this unique program! We offer Lund University is a
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15 Apr 2026 Job Information Organisation/Company Sorbonne University, IMPMC-UMR 7590 Research Field Computer science » Informatics Biological sciences » Biology Physics Researcher Profile Recognised
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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engineering, physics, biology or a related field and a demonstrable interest in MRI or medical imaging. A vivid interest in high-resolution imaging or the human cerebellum would be a plus. Proficiency in spoken
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the plant genome during development and replication. This project combines molecular genetics, advanced imaging, and quantitative analysis to answer fundamental questions in plant cell biology and genome
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or biostatistics Ability to work independently and collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D