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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate
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. degree criteria; Completion of PhD thesis within 4 years. Application Process: This position is currently open. The start date is between September - December 2025. Only applications that are submitted
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structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification. Information and application
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Institute for Marine and Atmospheric Research is looking for a motivated PhD candidate with a background in physics, applied mathematics, meteorology, geosciences or a related field. You will work within the
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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? Are you a nutritionist or food technologist with interest in digestion, metabolism and the regulation of food intake? Then this PhD position may be of interest to you. Satiety is experienced as the
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, the faculty is a strong and challenging organisation. The Faculty of Geosciences is organised in four Departments: Earth Sciences, Human Geography & Spatial Planning, Physical Geography, and Sustainable
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
break. For more information, see our website. Faculty The Faculty of Science at Leiden University is a world-class faculty where staff and students work together in a dynamic international environment. It
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with researchers from climate physics, hydrology, sustainability science and complex systems dynamics and apply a range of different models. Starting from the recent AMOC tipping simulations performed
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create