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shape an ambitious research programme at the intersection of computer vision, machine learning, and foundation models. Research Focus The project investigates how visual foundation models can efficiently
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considered in two phases: Phase 1 You must submit your research synopsis no later than 5 January 2026 using the form provided on the Academy’s website (see above). The research synopsis will be reviewed and it
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responsibilities, mentoring programmes, and initiatives that promote cultural exchange and integration. You don’t just join our faculty — you join a community where you can thrive, grow, and help shape the future
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, the research aims to enable a new paradigm of EO operations in which onboard AI systems form the core intelligence layer of mission planning, continuously integrating data, predictions and system knowledge
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Challenge-Based Learning (CBL) environments. You will be embedded in the Department of Industrial Engineering & Innovation Sciences (IE&IS) and form the technical core of the CLARA consortium, which brings
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this period. You will design and develop your own case-study, for example by focusing on particular minoritized groups, or forms of representation, in order to shape your contribution to the project, and
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, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences—together with the Lorentz Center and the Hortus botanicus, form the backbone of our faculty and are closely connected
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broad range of societal activities and as pioneers of tomorrow's digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together
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a forward-thinking community that equips you to shape the future – for yourself and society. With us, you will become part of a leading technical university with increasing, positive social impact.
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, the project will investigate how colonial and anticolonial contexts shape the constitution of legal orders, political communities and collective subjectivity itself. Your position As postdoctoral researcher