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networks and flow fields in porous materials Evaluation of large tomographic data sets as input for mechanistic and AI-based reactive transport models Presentation and publication of original scientific
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of the flotation cell Integrate and interpret data from different sensors and measurement techniques to provide a consistent hydrodynamic validation dataset for flotation-cell CFD studies carried out by
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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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information can be found at: https://www.ipb-halle.de/en/institute/ Data protection: Please note the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection
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Description For our location in Hamburg we are seeking: Doctoral Researcher in Machine Learning and Data Processing in the Field of Seismic Measurements Remuneration Group 13 | Limited: 3 years
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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and gaps in the availability of high-quality cost data. The aim of this project is to develop and implement a high-quality costing tool for estimating the costs of government-led STH control programs
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to mastering the great challenges facing society today. The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Institute
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the final provision of funds by the BMZ (Federal Ministry for Economic Cooperation and Development). Selection For all information, please see the Call for Scholarship As a first step, all applicants
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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships