1,307 web-developer-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" PhD positions
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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and stimulating research environment. You will have the opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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– Developing robotic systems embedded within architecture, encompassing swarm robotics, custom actuator design, modular robotics, safety-critical control, human–robot collaboration, and distributed manipulation
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Characterisation of material samples under varying environmental conditions Development of numerical models for simulating ultrasonic wave propagation in materials Development of application scenarios for the novel
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and their death negatively impacts processes: for example with regards to process duration or product quality. Therefore we developed an approach that integrates the disciplines of fundamental cell and
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listening effort, and developing systems capable of identifying and prioritizing the user’s intended sound sources. Overall, the PhD works contribute to the development of intelligent, user-aware hearing
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, the PhD student will develop a molecular-level understanding of what governs selectivity in complex liquid-phase environments. The project is placed in a broader context of valorising waste-derived
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of this project is to develop new, scientifically valid applications of skeletal data extracted from video-based skeletal tracking for use in football. Project Objectives Compare kinematic descriptors of football