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routinely available imaging data, such as 2D X-rays and increasingly common surface scans, into detailed 3D and 4D anatomical models. While advanced modalities like dynamic CT or MRI remain largely confined
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neurovascular biology and integrates advanced molecular analyses with experimental models and patient-derived material. The group is based at the Faculty of Medicine, Lund University, and operates in
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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable
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storytellers. We are looking for experts in the following areas: character design, storyboarding, 2D animation, 3D modeling, 3D animation, and game engines such as Unity and Unreal. Adjunct instructors deliver
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clonal development. To study these processes, advanced experimental models will be used, including genetically modified animals, iPSC-derived hematopoietic cells, 3D organoids, and in vitro HSC culture
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the experimental design, data analysis, and dissemination of results (manuscript preparation, presentations, etc.), so a high level of written and spoken English is required. Where to apply Website https
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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qualifications include (but are not limited to): Sophomore or Junior level Software development experience Microcontroller knowledge (i.e. Arduinos, Raspberry Pis, etc.) 3D modeling experience and knowledge of 3D