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sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy datasets and use it to power a vision foundation model capable
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specializes in precision cardiovascular medicine, leveraging cutting-edge approaches such as human iPSC-derived 2D cardiovascular cells, 3D vascularized cardioids, CRISPR gene editing, high-throughput CRISPRko
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obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued The proof of enrolment must be made until the contract signing date, and the
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one of the world’s most comprehensive, multimodal 3D/4D microscopy datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a
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. Process LiDAR data to support 3D analysis of terrain and settlements, integrating it with other spatial datasets to improve accuracy and create 3D models. Plan, execute, and process drone-based data
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reconstruction algorithms, enabling high-resolution, high-speed, and deep 3D quantitative imaging. In collaboration with the Department of Clinical Medicine (UiT), the system will be evaluated for dynamic imaging
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include aspects of project management, mechanical design and fabrication, hardware and software systems integrations, 3D modelling, 3D printing, among other engineering activities necessary to support the
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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Responsibilities EE/CSE Makerspace: Assist students with their design projects (PCB design and milling, 3D modeling and printing, soldering, CNC mills, laser cutting). EE Labs: Trains students in effective use
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Integrated 3D Surface and Below-Surface Models”, ref. 3DURBs/I&D+i/IPLeiria/2025, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Civil Engineering, Territory Planning and Management