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methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research
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to evaluate emerging instrumentation and software and translate them into robust, scalable workflows. Alongside method development, the Zamboni Lab is tightly embedded in numerous collaborations with academic
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You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH career development resources The working language is
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also be opportunities to design novel bioelectronic implants and develop specialized control software Profile We are seeking highly motivated applicants with a background in physics, material science, or
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research network spanning Prof. McDonald's career accross four continents (USA, Switzerland, Australia, UK) An inclusive and supportive team that values diversity Flexible working hours and partial home
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data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with stakeholders
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected