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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP, causal inference, and machine learning to explore norms related to gender-based and other forms
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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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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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The School of Engineering at EPFL invites applications for a faculty position in Bioengineering Measurement Technologies. Appointments will be at the Tenure Track Assistant Professor level. We seek
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The School of Life Sciences at EPFL invites applications for a faculty position in life science engineering. Appointments will be at Tenure Track Assistant Professor or at Associate Professor level
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, functional genomics, protein engineering, and targeted protein degradation. Project background High-throughput perturbation technologies rely on perturbing DNA or RNA to infer the function of proteins. Methods
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The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL and the Paul Scherrer Institute (PSI) jointly seek to appoint a Tenure Track Assistant or tenured Associate Professor in