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to further develop concepts in nonlinear model reduction Possible research directions include the development of nonlinear modelling and control approaches for fluid-structure interactions, material with
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terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and Engineering (EDMX) of EPFL (Lausanne
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and/or structural methods is an advantage. You are eager to learn new techniques and apply them carefully and consistently. You are reliable, motivated, and can demonstrate a strong work ethic. You are
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approaches, including molecular biology, microbiology, biophysics, structural biology, genomics, computational biology, synthetic biology, and environmental biology. Your position The successful candidate will
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with experimental data Strong interest in combining mechanical modelling, experiments, and AI for safety-critical industrial systems Required people skills Self-motivated, structured, and eager
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from the COPL website . Please do not change the internal structure of the templates, and please adhere to the file-naming conventions explained below. Incomplete applications will not be processed
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the fundamental ways images serve as instruments for making complex structures visible and accessible to interpretation. In both aesthetic and experimental settings, images often assume an exemplary character
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observations is desired. The professorship will be embedded in the Department of Biology, which provides complementing expertise in structural biology, functional genomics, systems and computational biology
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of Construction and Infrastructure Management of the Department of Civil, Environmental and Geomatic Engineering, has an opening for a doctoral student. This position focuses on the development of uncertainty-aware
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systems. To get an overview of our lab's recent projects, take a look at our publications: https://drescherlab.org/publications.html We are looking for a highly motivated and talented PhD student to join