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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc). Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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., TensorFlow, PyTorch) and transfer learning models. Proficiency in Python programming and handling medical image datasets. Strong understanding of computer vision, CNNs, and attention mechanisms. Experience
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Klenerman in the Yusuf Hamied Department of Chemistry, from October 2025 for up to 2 years. This is a collaborative project with Professor Clare Bryant in Clinical medicine and aims to image and characterise
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contribute to the excellence of our academic community. Development and application of advanced magnetic resonance imaging acquisition and analysis techniques. Develop and apply image acquisition and analyses
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in the position and outline skills and experience that directly relate to this position. Job Summary The worker will perform cell culture studies and imaging studies to analyze cell signaling pathways