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Field
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system module and investigate linkages with the more detailed IMAGE model. The project is embedded in the broader EMBRACER programme, which aims to advance our understanding of climate feedbacks. You will
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why
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7 Nov 2025 Job Information Organisation/Company Eberhard Karls University Tübingen Department Division for Women's Mental Health & Brain Function Research Field Neurosciences Psychological sciences
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working practice, and strong team working skills. Admission Requirements Master or Diploma degree in Computer Science, Computer and Information Engineering, Software Development, or equivalent fields
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advanced optical imaging, to characterize materials and measure cellular mechanics. Collaboration and Expertise You will work closely with our expert collaborators: Prof. Rob Jelier (Computational Biology
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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biology approaches, and advanced imaging techniques in live cells, organoids, and organisms, the laboratory continues to identify and elucidate basic mechanisms of tumor virus infections in cells. Moreover
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the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular Ecology Group headed by Jørn Henrik Sønstebø
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multi-disciplinary environment You are passionate about science, combining aspects of imaging sciences, cancer research and neuroscience You should have experience in at least one of the following fields