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Field
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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies
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Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active participation
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Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active
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of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu/ for more information about the Space Physics Group at Princeton University
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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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analysis, application adaptability and integration, human computer interaction, security, and sustainability. To be and remain useful to their users, software systems not only need to offer the functionality
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with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation of mathematical models to the development of new imaging
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. The project offers opportunities to contribute to research with strong relevance for the decarbonization of industry, while gaining expertise in modelling, analysis, and potentially experimental investigation
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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+. Areas of expertise include: Geometry and topology Algebraic geometry and number theory Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics