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knowledge of microfluidic automation, including actuators like pumps, valves, and electromagnetic components, along with heat transfer concepts. Familiarity with 3D printing or other rapid prototyping methods
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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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on wave motion. Experience with 3D Scanners. Experience with Python. Required Documents Resume To be considered for this position please visit our web site and apply on line at the following link: https
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38848 Job Number SE169024 Position Information Department or Unit Name Grand Challenges
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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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environment. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal
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of skin organoids requires 3D reconstruction to account for changes in tissue composition and structure. The appointment has an expected start date on or around April, 2026. The initial term of the position
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and Engineering Sciences at the University of Bonn, Germany, invites applications for a full W3 Professorship for Functional and 3D Modeling of Plants to be filled at the earliest possible date
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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