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Field
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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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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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, 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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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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develop skills in AI inference models, data integration, 3D image reconstruction or signal validation experiments. Applications for this vacancy should be made online and you will need to upload a
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will be critical to work closely with the other 3DxN teams, with potential opportunities to utilise and develop skills in AI inference models, data integration, 3D image reconstruction or signal
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language skills advantageous Experience with the acquisition of external research funds Experience with radiative transfer models Experience with creating synthetic remote sensing data and virtual 3D scenes
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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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position supervised by Prof. Xuanhe Zhao. This position will entail the following technical responsibilities: 1, Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data. Perform image
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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