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, both written and spoken For further information, please contact Silke Benndorf (03083864398). Applications should be sent by e-mail, together with significant documents, indicating the reference code, in
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module). Preferences: - comprehensive knowledge of North American cultural studies - strong research skills and knowledge of academic libraries and academic data bases - Willingness to get acquainted with
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independently conducting academic research projects • Ability to work effectively in a team For further information, please contact Prof. Dr. Florian Zemmin (islamwissenschaft@geschkult.fu-berlin.de
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process
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for light-induced dynamical processes, THz pulse emission, ultrafast spectroscopy and theory for current-induced spin dynamics. The research tasks include the development of theoretical models and computer
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preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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. As a model intercomparison project, TIPMIP brings together international modeling groups to jointly develop and run computer simulations. In this way, TIPMIP creates a unique data basis for
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. To support this work, we are seeking a motivated student assistant with a background in educational sciences, psychology, or a related field. Typical Tasks: In-person data collection with children Create and
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are to train highly skilled young mathematicians across the entire breadth of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and
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challenges of our time. Be part of change As part of the interdisciplinary “Machine Learning Enhanced Sensor Systems” team, you will work on and develop data-driven solutions for intelligent sensor technology