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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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of machine learning and optimization methods in manufacturing. We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine interaction. Job description
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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100%, Zurich, fixed-term The Optical Nanomaterial Group in the Physics Department at ETH Zurich is looking for a PhD student in quantum metamaterials. Optical metamaterials are a rapidly maturing
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) methods to modulate brain function during wake and sleep and on understanding how the brain interacts with other bodily functions. The majority of our studies are conducted in healthy volunteers; however
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techniques (e.g., filter-based, morphological, and statistical methods) with machine learning approaches Collaborate with interdisciplinary teams, ensuring seamless integration of image analysis with
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Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
collaborators. The center is also in charge of the training in psychiatric research methods and provides expert advice to the researchers of the Psychiatric Department. Main missions: 1. Design and complete top
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and