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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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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 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 Life Sciences at EPFL invites applications for a Tenure Track Assistant Professor position in Neuroscience. At EPFL researchers develop and apply innovative technologies to understand
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The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL seeks to appoint a Tenure Track Assistant Professor in condensed matter theory with a focus on interacting quantum matter
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university degree in psychology at master level, a PhD, and extensive research experience in one or more of the areas outlined above. You have a track record of excellent international publications as first or
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the Swiss Federal Railways via the ETH Mobility Initiative, will assess the ability to improve processes for rail system development to unleash efficiency gains, with specific examples for the cargo sector