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research on AI-driven form finding of structural surfaces under extreme loading. The research will be conducted under the direction of Professor Sigrid Adriaenssens in a team. Candidates with a strong
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of [map ] Subject Area: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials Appl Deadline: none (posted 2025/02/17) Position Description: Position
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. The positions will push forward the emerging field of Geophotonics — a novel paradigm that explores the interaction of light with natural crystalline materials to decode the dynamics of Earth's surface
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molecular dynamics, enhanced sampling, and kinetic modeling—the team investigates how neurotransmitters like norepinephrine and hormones such as estrogen interact with β-adrenergic and estrogen-related GPCRs
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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to use molecular dynamic simulations to understand membrane
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and structures that leave many people and places out of the Low Carbon Living agenda. The Centre is accelerating research-informed action that engages, enables and empowers marginalised people
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. The ability to work critically with archaeological and ancient historical sources. A methodological and structured approach to work. Good organisation skills and excellent attention to detail. Flexibility and
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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Conservation D. How plant cell shape and tissue structure help cells stick together E. DETERMINER - Determining appropriate monitoring frequency for phytoplankton F. Predicting bacterial protein expression