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Related works: https://arxiv.org/pdf/2404.09932 (Relevante Abschnitte 2.2, 2.7, 3.1, 3.2) https://arxiv.org/pdf/2402.05162 https://arxiv.org/pdf/2406.14144 We value and promote the diversity of our
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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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this, for example, through our onboarding program for new employees as well as by raising awareness of and providing training on diversity and equal opportunity issues. We firmly believe that diversity is key to our
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skills, preferably some experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness
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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
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industrial application Related works: [1] https://arxiv.org/pdf/2404.09932 (Relevante Abschnitte: 2.7, 3.5, 3.6) [2] http://arxiv.org/pdf/2403.00108 [3] http://arxiv.org/pdf/2411.17453 [4] http://arxiv.org
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, Dr. Manuel Dahmen) Participate in international conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de
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-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development
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Research Framework Programme? Not funded by a EU programme Reference Number JP/001/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Life Sciences
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) Positions PhD Positions Application Deadline 31 Mar 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme