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manufacturing technologies and eager to develop and build experimental setups and combine this with physics-based modelling? Join us as a PhD candidate and contribute to making volumetric 3D printing predictable
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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and image generation based on deep learning. The aim is to study techniques for handling multimodal data by integrating visual information (2D and 3D) with textual or tabular metadata. This integration
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lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
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for the purpose of processing and analyzing multimodal neural data. Prototype and evolve hardware using tools such as 3D printing, electronics, and open-source platforms. Prepare program descriptions and
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be to quantitatively compare the predictions made by the digital twins of the patients' faces with the post-operative reality. - Collection and processing of post-operative scanner imaging data
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accuracy, supporting clinical decision-making, and promoting excellence in pediatric ultrasound imaging across the care team. Work Location: This role is expected to work on-site at the CHCO Anschutz Campus
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Location : On-Site Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU Advantage Summary The Department of Visual and Performing Arts (VAPA
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photopolymerization Formulate photopolymer resin for vat photopolymerization Design CAD models and prepare print builds Perform quality assurance and characterization for 3D printed parts Improve prototype through
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. The project will then involve: - X-ray micro-tomography imaging and segmenting the resulting 3D images with AI-based tools already available in the team. - Characterizing the microstructure (binder distribution