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reduction of wind-tunnel experiments by 87% between the late 1970’s and the late 1990’s, corresponding to a reduction of energy consumption which can be estimated as 8.7 107 kWh while reducing the fuel and
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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integration into the treatment process. At the same time, personalized medicine presents challenges. Data-driven methods from the fields of Artificial Intelligence and Analytics are regarded as key technologies
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-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction. In
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
sources investigate links between such variations or trends and global climate change, e.g., through direct estimation of environmental drivers, or attribution of changes in non-environmental drivers
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
language; the assistant provides the required simulation expertise. In this way, simulation-based methods become accessible even to companies that have so far lacked the expertise or capacity. At its core lies the
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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The Cluster of Excellence Physics of Life" (PoL, https://physics-of-life.tu-dresden.de/en ) is an interdisciplinary research center at TUD Dresden University of Technology dedicated to quantitative
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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(QAE) and related phase and amplitude estimation methods, including variational approaches Development and analysis of efficient oracle implementations for quantum algorithms, particularly for the input