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Field
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automated extraction of morphological features (e.g., porosity, tortuosity, connectivity) and fluid flow characteristics from 2D and 3D images resulting from magnetic resonance, X‑ray and electron images
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to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research questions. The project is highly interdisciplinary and is carried out in close
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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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animal models and human participants. Particular emphasis will be placed on identifying translational motor features that can be robustly and consistently quantified across species, including movement
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well as exploring the application of research findings to advanced 3D models such as organoids and 3D bioprinted tissues Learning about high-content, automated phenotypic drug screening pipelines against high
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and evaluating efficacy in animal models. The selected candidate will develop 3D biomodel of the human nasal cavity based on imaging data obtained from human diagnostic scans. He/she will also
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intraperitoneal and intravenous (tail-vein) injections. Preferred Qualification: Research Lab experience in cancer cell biology and cell motility/migration in prostate cancer models. Hands-on experience in
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strategies. About You You will hold a PhD in Materials Science, Nanotechnology, Applied Physics, Electrical Engineering, or a related discipline. You will have experience in 3D metamaterials or architected
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, therapeutic resistance, and tumor–immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also