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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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Science. Explore new possibilities in the study of 2D and 3D magnetic microstructures using a mix of static and dynamic magnetometric methods, as well as advanced static and dynamic magneto-optical domain
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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ideal condition to support 3D cell growth via cell-microgel scaffold formation and additive manufacturing. This highly interdisciplinary position will cover material synthesis, microgel production via
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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engineering of SVD-relevant mutations, differentiation of iPSCs into neurovascular cells, microfluidic 3D vascular tissue engineering, and identifying disease-relevant alterations. Work is embedded in
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project is to uncover how collective dynamics and signal-ing feedbacks drive robust pattern formation during early development. We apply advanced stem cell culture approaches, 3D organoid engineering, and
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positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D
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functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept is to combine