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that explicitly incorporates protein–ligand dynamics. You will be responsible for: Designing and implementing innovative deep neural network models. Integrating physical principles and molecular modeling knowledge
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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. Empa is a research institution of the ETH Domain. To strengthen our team and enhance our knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis
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talented candidate with a Master’s degree in civil engineering, mechanical engineering, or a related discipline Solid background in mechanics of materials and finite element analysis Sound knowledge
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization
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writing style in English, and like to use convincing visualizations to communicate statistical insights. While not a must, knowledge of German and / or French would be a significant advantage. Furthermore
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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solid knowledge of and strong interest in economics and economic policy issues. Have excellent quantitative and programming skills: strong knowledge of time-series econometrics, forecasting methods
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English. Knowledge of German is beneficial, but not mandatory. Our offer We offer a PhD position at the research institution with excellent infrastructure and plenty of possibilities for personal and
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-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an