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the research profile of the University of Bremen. Rooted in computer science, Minds, Media, Machines connects researchers from eight faculties of the university with numerous internal and external partners
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cells or electrolyzers. Utilizing innovative, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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-disciplinary and cross-cultural cooperation. The research revolves around four topic areas: Business models, decision processes and economic analyses Holistic interdisciplinary methods for modelling, analysis
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F
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Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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of employment). The successful candidate should possess evidenced (e.g. by relevant PhD thesis and publications) knowledge of stochastic and rough analysis. Knowledge of rough path signatures, numerical methods
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for our clients from numerous industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, Next