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development and regeneration (1.0 FTE) Description of the project The opening is for a research position within the field of mathematical or theoretical biology, computational physics, applied mathematics
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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into your PhD dissertation, supported by experienced GEM researchers; you design and apply innovative computational methods such as machine learning, to extract meaningful insights from GEM and complementary
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research papers at/in internationally renowned conferences/journals. As a group, we aim to publish our work in natural science journals (applications) and at computer science conferences (methods).You will
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. Drawing on insights from hydrology and quantitative risk management, the project will also develop improved methods to identify energy droughts and detect "worst-case" weather years for energy security
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concentration in specialized clinics with access innovative treatments and technologies, such as (hybrid) surgical equipment, cell therapies, AI-driven methods, and advanced genomics. The project will focus
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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- and knockoff-based methods that allow for relatively model-free inference. In this project, we aim to combine the strengths of these three frameworks into a novel and coherent whole. The project is
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
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, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies that balance energy supply and demand, improve electricity grid flexibility, and