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, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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in their testing where applicable. • Interact with other technical groups working on the project so as to achieve an optimised system design. The post-holder will have the opportunity to teach
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in their testing where applicable. • Interact with other technical groups working on the project so as to achieve an optimised system design. The post-holder will have the opportunity to teach
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the undergraduate and postgraduate levels. The school supports teaching and research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and
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reinforcement learning approaches for autonomous guidewire shaping and control. • Design experiments, validation strategies, and quantitative performance metrics for robotic navigation and wire-shaping systems
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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unresolved question in colorectal cancer biology: what molecular and immune mechanisms allow a benign or premalignant colorectal adenoma to acquire malignant properties and progress toward invasive cancer? Our