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biomimetic materials, self-healing concrete, extreme wave and flood modelling, IoT and intelligent control systems, renewable energies, robotics, automation, and supply chain management with academics and
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! Harvard FCU: https://harvardfcu.org/ Job Description Job-Specific Responsibilities: The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more
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libraries (spaCy, NLTK, Hugging Face). Machine learning fundamentals and model evaluation. API integration and version control (Git). Prototyping, testing, and refining NLP-driven applications. Applying human
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in a team environment Preferred Qualifications Experience or familiarity with some of the following tools is strongly encouraged: Adobe Creative Cloud or similar creative software 3D modeling and
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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these developmental insights to innovate regenerative approaches for treating heart diseases in adults. The successful candidate will lead a research program to understand how chromatin remodeling complexes control
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
: This grant aims to develop methods based on reachability analysis to design robust MPC controllers for the final approach of a tethered spacecraft for active debris removal. This grant will investigate
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procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models and/or
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value