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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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collaboration with experimental groups, to address questions of biomedical or industrial relevance. The candidate will develop and use machine learning methods (mainly graph neural network architectures
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given. Requirements: - Completed master's degree and completed doctorate in mathematics by September 2025 Desirable: - Solid background in algebraic topology / K-theory / higher algebra - Gender and
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and use machine learning methods (mainly graph neural network architectures) to design representations and transferable energy models for proteins and materials. The position will serve to develop your
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and integrated as part of the project. Another important task area is the development of further integrative methods for data analysis, for example using networks, mathematical modeling and machine
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acquisition of teaching experience. Requirements: Completed university degree in atmospheric sciences, physics, or mathematics (Master's degree). Desirable: Experience or willingness to develop model components
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approaches with informed institutional analyses of capitalism, finance and insurance, housing and welfare states as well as policing and drawing on theories from Comparative Political Economy, historical and
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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scientific university degree (Master's or similar) in meteorology, physics or mathematics. Desirable: Experience in atmospheric dynamics and numerical modelling of the atmosphere. Fluency in English and
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research and the acquisition of teaching experience. Requirements: Completed scientific university degree in meteorology, physics or mathematics. Doctoral degree in atmospheric or climate sciences. Desirable