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If you want to advance your career with a leader, consider Roche. We rank among the worlds foremost corporations providing innovative healthcare solutions, continuously investing in medical research and development. By preventing, diagnosing and treating a range of health disorders, our products...
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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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. The candidate will join our multi-disciplinary team and focus on the development and performance of modern assays to evaluate bioactive molecules targeting major signaling pathways in cancer and inflammation
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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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) 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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, creative formats and paid promotion. Create, schedule and publish engaging content tailored to target audiences, aligned with the Basel Institute's messaging and style. Monitor, analyse and report on
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to meet the evolving demands of the next generation of targets and modalities. You provide direct line management and mentorship to a team of scientists and associates, fostering a collaborative and high
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assays to find innovative lead molecules. You ensure that our cutting-edge technology platforms are continuously adapted and optimized to meet the evolving demands of the next generation of targets and
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using laser-induced bubble generation to achieve precise, controlled BBB opening (BBBO) for targeted drug delivery. Our key objective is to develop a non-invasive, laser-based technique that safely and