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Field
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and digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine locations in scientific and non-scientific teams on the development of innovative methods
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contributing to new research methods in human-AI collaboration? Then we are looking for you! We are hiring a technically strong, creative, and socially motivated PhD candidate to join the international
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures
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issues such as privacy, security, and bias in digital health systems. You will adopt a mixed-methods approach, combining qualitative and participatory methods to map the needs of healthcare professionals
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/communication devices are still complex. Therefore, to overcome these challenges, the solutions have been pointed to separate the functionalities and the hardware dependency by applying virtualization methods
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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uncertainty characterisations for mass balance estimates from satellite altimetry applying the results in comparative studies and combination studies with complementary methods such as satellite gravimetry
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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Strategy. The ability to upgrade methane into higher-value products, particularly through plasma-assisted or catalytic methods, is a game-changer for the chemical industries, enabling a dual focus on
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the Spanish National Plan for Scientific and Technical Research (Plan Estatal, AEI/FEDER). The project will develop innovative methods for the integrative analysis of multimodal nutrition data, using ontologies