10 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" positions at Bocconi University
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, present results at conferences and seminars, participate in the Department’s research activities, and contribute to the organization of scientific initiatives. Where to apply Website https
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problems at the interface of geometric measure theory, the calculus of variations, partial differential equations, and geometric analysis. The successful candidate will contribute to the development
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https://jobmarket.unibocconi.eu/?id=915 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence
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next stage of an academic career. Candidates are therefore expected to take up a tenure-track assistant professorship in a leading Economics department in 2027. Where to apply Website https
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application form, must be sent electronically via the website https://jobmarket.unibocconi.eu by 23:59, 9th February 2026 (Italian time). The following documents must be attached to the electronic application
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application form, must be sent electronically via the website https://jobmarket.unibocconi.eu/ by 23:59, 2nd February 2026 (Italian time). The following documents must be attached to the electronic application
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opportunities for joint research and technology transfer. Where to apply Website https://jobmarket.unibocconi.eu/?id=890 Requirements Additional Information Eligibility criteria Eligible destination country/ies
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European integration. Its theoretical framework is grounded in social identity theories, and it will investigate how to foster the development of a stronger European identity. The research will be
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, it will integrate multiple micro-data sources and exploit exogenous shocks to credibly identify causal effects. Where to apply Website https://jobmarket.unibocconi.eu/?id=892 Requirements Additional
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their traditional interpretability while enabling their use in more general simulation contexts. A key innovation involves the development of within-simulation (or given-data) estimators that allow importance