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mechanisms such as language and memory. We employ an interdisciplinary approach combining elements of cognitive psychology (e.g., behavioral measurements), neuroscience (especially neuroimaging: fMRI / EEG
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methods for data analysis and integration. Our research questions often originate from the life sciences or the (public) health sector. We integrate different levels of data and develop combined
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analysis. - The student will be expected to contribute in locating, collecting, harmonizing, and systematizing historical data from primary sources of various countries and firms using statistical software
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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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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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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of accounting, corporate reporting in a national and international context, and auditing issues. Methodologically, the focus is on quantitative empirical approaches, in particular computer-aided text analysis
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The Pagel research group focuses on the structural analysis of biological macromolecules and their non-covalent complexes in the gas phase. Particular emphasis is placed on the application of ion