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-contractuel-fh-en-diagnostic-des-batterie… Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications Skills Good knowledge of physics-based modelling and experimental skills. C1
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, creating predictive models for failure control. Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers
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Guilford Technical Community College | Jamestown, North Carolina | United States | about 8 hours ago
environment, responding to student needs, managing effective instructional activities, developing curriculum courses, modeling employability skills, demonstrating professionalism, developing cooperative work
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of patient-focused care through the integrated skills of all care team members. The span of control for this position is based on unit capacity, unit complexity, and FTE oversight. Span of control will be
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., turbine components).Research on advanced deep learning techniques, including architectures based on GRU, LSTM, attention mechanisms, and hybrid models.Implementation of real-time predictive models (soft
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-on expertise in Modelica-based tools and familiarity with HVAC systems and ASHRAE standards • Strong proficiency in modelling platforms, data analysis, and optimization techniques • Good communication skills and
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successful delivery of key milestones. Key Responsibilities Lead the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and
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cellular biology approaches, this project aims to identify the fundamental molecular and physical principles governing lipid homeostasis and organelle dynamics. The project is based on an interdisciplinary