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Optimization (AI/ML) Developing AI/ML models to predict drillability issues based on mechanical rock properties Real-time parameter optimization (WOB, RPM, flow rate, etc.) using machine learning techniques
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
control theory (e.g., model predictive control, fuzzy control, etc.) # Excellent teamwork and communication skills in an interdisciplinary and international research environment # Motivation and self
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
thermophysical properties vary across the diverse PFAS chemical space and how these properties may be predicted using computational models. These positions offer an excellent opportunity for early‑career
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to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban populations are exposed to a complex mixture of
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replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases. As a Manager
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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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prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
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of interest to you. PhD position combining high dimensional data for the genomic prediction of methane emissions. Wageningen University & Research’s Animal Breeding and Genomics group leads the Global Methane
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driven extinct. Our group uses a combination of mathematical theory and controlled, lab-based experiments to investigate how this feedback between growth and the chemical environment shapes microbial
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g