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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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your work is inherently collaborative. You will spend a dedicated time at the Amsterdam Medical Center (AMC) with Prof. Ed van Bavel. There, you will learn to perform blood flow perfusion experiments in
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, cyclic cohomology, C*-algebras, K-theory, index theory, and general geometry and analysis on manifolds. The PhD project will be supervised by Dr Peter Hochs. This project involves collaboration with Dr
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, from tailored nanomaterials to biological systems. Achieving this goal will be challenging yet highly rewarding. To make it happen, we will be working in close collaboration with the Nanophotonics
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system; Contribution towards LEO-PNT interoperability and compatibility with GNSS and other LEO-PNT systems, in collaboration with international stakeholders. Duties Your tasks and responsibilities will
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collaborate with colleagues in one of our research centers, such as the Center for Gender and Diversity and the Maastricht Center for Citizenship, Migration, and Development. The position and profile We offer a
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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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cluster at the Van der Waals-Zeeman Institute for Experimental Physics (IoP-WZI), in close collaboration with Prof. Noushine Shahidzadeh (expert on crystallization and self-assembly) and Prof. Hannelore
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not reached vulnerable groups or created impact at scale. SMARTSCALE brings together scientists, local partners, and governments to learn from past experiences and design better ways to spread moisture
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groups within DPG-UU. The candidate will develop and be involved in funding applications from national and European science agencies, and will be uniquely positioned to teach in courses on Earth Sciences