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shared goal: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: Application of methods from security-relevant areas such as
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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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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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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group has used their expertise in computer simulations on small model chromosomes to demonstrate that polymer-assisted condensates are capable of maintaining the epigenetic state through 40 generations
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: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey
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-derived myeloid precursors and joint-resident fibroblasts spread psoriatic disease from skin to joints Nature Immunology, 2025 https://doi.org/10.1038/s41590-025-02351-z Effects of different B-cell
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
shape the next generation of agentic AI tools for biomedical research. A highly interdisciplinary environment connecting AI, computational biology, human–computer interaction, and research software
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experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness to work with erotic