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the use of MATLAB, or an equivalent programming language alongside a willingness to adapt these skills to the use of existing algorithms developed in MATLAB. C4 Ability to communicate material of a
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration and project management - Proficiency in software version control and
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. The university serves the people of Illinois through a shared commitment to excellence in teaching, research, public engagement, economic development and health care. Faculty, staff and students share
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. For information about the Institute for Simulation and Training and the Orlando area, see http://www.ist.ucf.edu . We are seeking an Assistant In Embedded Training Researcher/Software Engineer with expertise in
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
learning in humanoid robotics for industrial applications. In this project, our goal is to recruit one to two engineers to contribute to: the development of deep learning-based vision tools adapted
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Innovation Council to build a breakthrough Device-Aware Testing platform shaping the future of semiconductor test. Job description The POPCORN project aims to revolutionize semiconductor testing by developing
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Participates in patient rounds, conferences and committees Actively participates in the development and maintenance of patient management algorithms and standing orders. Documents patient care data in Epic in
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, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical