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related to LCA, HRI, and construction safety, health, and well-being. The projects target predictive LCAs for 3D printing using Fabrication Information Modeling (FIM), run-time autonomous data collection
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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent competitive Edge AI functionalities
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describe concrete examples of your own relevant previous work involving these topics). Experience with modelling is an asset. As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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with academic and industry partners Disseminate results through publications and stakeholder engagement Your primary qualifications are: As a formal qualification, you must hold a PhD degree (or
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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hearing from researchers with oceanographic, as well as meteorological, science background. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale