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ideal condition to support 3D cell growth via cell-microgel scaffold formation and additive manufacturing. This highly interdisciplinary position will cover material synthesis, microgel production via
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, demonstrate equipment capabilities, troubleshoot basic issues, and guide users through the workflows for various technologies including introductory 3D scanning, 3D printing, Virtual Reality, Cricut cutting
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Fuel Cells (MFCs) by developing 3D-printed titanium electrodes using Laser Powder Bed Fusion (LPBF) technology to achieve trabecular and porous structures optimised for microbial growth. Titanium is
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. Proficiency with one or more of the following: Digital fabrication (3d printing, laser cutting, 3d scanning, CNC routing, etc.) Adobe Creative Suite Rhino/RhinoCam Autodesk Suite (ACAD, Fusion360) Solidworks
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complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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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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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