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to explore the dynamics of tropical forests responding and feeding back to climate. The position is part of the NGEE-Tropics project (https://ngee-tropics.lbl.gov ), a long-term, DOE-funded effort to
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health. The postdoctoral associate will also participate in related projects on cardiometabolic disease, cardiovascular imaging, multimodal prediction, and implementation of imaging-derived biomarkers
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“Prediction of response to immunotherapy in melanoma using metabolic signatures of the gut mycobiome”, funded by National Science Centre. Where to apply Website https://system.erecruiter.pl/FormTemplates
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methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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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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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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on machine learning, are monitored by an integrity controller. Autonomous navigation on open roads remains a challenge, due to the uncontrolled and uncertain nature of the environment, the multiple driving