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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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Responsibilities: The successful applicant will cover research and teaching in the fields of biodiversity and conservation genomics at Freie Universität Berlin and co-direct the Berlin Center for Genomics in Biodiversity Research at the Leibniz Institute for Zoo and Wildlife Research...
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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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• LA-3Q-ICP mass spectrometer • a LIDAR scanner and camera system of a hydrological experimental flume • Maintenance and operation of the measuring computers for these large devices • Support for
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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
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: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
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(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
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In the research group, we investigate how collective behaviour arises from the interaction of many similar particles or "agents", for example transport processes in porous materials or the formation
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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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of cloud microphysical processes, with the goal to better understand clouds and their interactions with other Earth system components. Using this framework, we strive for a high degree of process-level