Sort by
Refine Your Search
-
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...
-
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
-
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
-
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
-
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
-
Computer Science, IT Systems Engineering, Data Science, Bioinformatics, Mathematics, Physics, or a related field. - Solid, demonstrable software engineering skills and ability to write clean, testable, and well
-
approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
-
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
-
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
-
The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision