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internationally recognized research program, sustained peer-reviewed funding, and a track record of impactful publications in leading journals. Candidates need to demonstrate a clear vision for expanding a
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search will be used to explore combinations. Results: The developed methods are intended to allow the training of balanced but also specialised computer vision models, particularly in the field of face
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Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) im Forschungsverbund Berlin e.V. | Stechlin, Brandenburg | Germany | 3 days ago
look forward to receiving your application by 31 May 2026. Please include the following documents: a letter of motivation; a full CV; a statement outlining your research vision (max. 3 pages, including
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines
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advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this in line with our vision: “Taking the pulse of our Earth to safeguard a habitable
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a dataset for the classification of poses and facial expressions. Implementation of new approaches for the detection of erotic and pornographic facial expressions. Training of models (CNNs, Vision