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construction. The PhD research will focus on the development of design approaches for building elements that can meet functional performance criteria across multiple lifecycles enabling reuse; adaptability; and
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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). Strong motivation to develop and refine methods, primarily in silico, with a light but competent experimental component. Highly organized and precise; comfortable managing multiple design iterations with
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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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You will work on an ongoing research project on intergenerational mobility in Switzerland which addresses questions of social mobility across multiple dimensions. In particular, the project examines
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software development of their research. The position focuses on developing Python and C# libraries for research in architecture, civil engineering and extended reality (XR), building on the open-source
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities