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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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infrastructure and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. Â 5+ years of senior-level management experience leading
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Department: The Center for Satellite and Earth Science Research (CSER) advances Earth system science through cutting-edge satellite technology, data-driven research, and interdisciplinary collaboration. We
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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
the 21st century whether the focus is cancer, energy, economics or literature Connections working at Massachusetts Institute of Technology (MIT) More Jobs from This Employer https://main.hercjobs.org/jobs
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at: https://www.math.aau.dk/english. Stipend 2 will be located at the Department of Health Science and Technology, that conducts research that spans biomedical sciences, clinical research, biostatistics
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. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electronics and ICT Engineering Technology in the Faculty
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2026/02/19 05:00 AM
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable