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brain regions without invasive surgery. Project background We develop advanced focused ultrasound technologies, ultrasound-responsive drug carrier formulations, and adaptive closed-loop control algorithms
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines
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on advancing a breakthrough technology to clinic for non-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform
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systems. Our research spans from the molecular level to the scale of systems. We develop simulation and experimental methods to advance sustainable energy and chemical processes from the molecular
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, determining which approaches, formulations, and language models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing the evaluations hand-in-hand with
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. Incorporating robustness against delays is an additional important aspect. This project assumes that we are able to quantify how small delays develop and propagate throughout the network; how larger disruptions
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. Incorporating robustness against delays is an additional important aspect. This project assumes that we are able to quantify how small delays develop and propagate throughout the network; how larger disruptions
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way, so that they become more flexible, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications