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quantification, from classical optimisation and Bayesian inference to physics-informed neural networks (PINNs) and other machine-learning approaches build and extend our simulation environment, with a focus on
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is helpful, but specific platform experience is not required. Workplace Workplace We offer A research environment combining fundamental physics, semiconductor technology, and advanced photonics. State
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++ software. Prior experience with these is not required. Workplace Workplace We offer A PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and
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equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and
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on the ETH Zurich postdoctoral salary scale for one year (renewable to a maximum of 6 years) a dynamic and interdisciplinary research environment with access to state-of-the-art laboratory facilities and
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degree in social sciences or humanities (e.g. peace and conflict studies, political science, sociology, anthropology, environment) A minimum of three years’ work experience related to mediation/mediation
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Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students
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Relevant MA degree in Social Sciences or Humanities (e.g. peace and conflict studies, political science, sociology, anthropology, environment) A minimum of three years’ work experience related to mediation
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger