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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 10 days ago
. Demonstrated interest in animal research, particularly rodent models (experience with mouse handling or physiology is an advantage). Experience with MRI data processing, image reconstruction, pipeline
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with Prof. Andreas Zumbusch (University of Konstanz), providing access to state-of-the-art Raman imaging techniques. The successful candidate will join a collaborative, interdisciplinary research
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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the Candidate has successfully defended PhD thesis) in chemical sciences or related fields; has solid knowledge in FCS (Fluorescent Correlation Spectroscopy) and/or quantitative imaging and experience at work in
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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-dimensional imaging data. Actively prepare and submit postdoctoral fellowship applications. Contribute to scientific publications and grant proposals. Supervise PhD and/or Master’s students. Actively