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and high-performance computing to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be
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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing . We are
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, applied physics, computational mechanics, scientific computing, or a related field. A foundation in areas such as solid mechanics, contact mechanics, or multiscale modeling is particularly relevant. You
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facilities for optical and high-speed imaging, material preparation, and scientific computing The position offers substantial freedom to develop independent research directions while collaborating closely
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under the supervision of our micro- and nanofabrication specialist, Dr. Lucia Romano, at the Paul Scherrer Institute. As part of a multidisciplinary team of academic and industrial researchers, you
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pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational research with unparalleled access to academic and industrial expertise. Project background Advancing the Frontiers of
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life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational research with unparalleled access to academic and industrial
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dissemination activities Contribute to the development of international academic publications and other project outputs directed at both scholarly and practitioner audiences Participate in the research
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scientific journals. Profile You should have: A Master's degree with excellent academic record in Chemistry, Pharmaceutical Sciences, Biochemistry, Molecular Biology, Biotechnology, or a related discipline
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interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for