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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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Hessen”) the possibility to attend more than 100 seminars, workshops, and e-learning courses annually, along with diverse health and sports offerings salary that follows TV-H regulations, with
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students to tailor their learning to their interests, requiring them to earn 25 ECTS through various activities. Seminars, summer schools, retreats, elective courses, and participation in international
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, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
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) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
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of observational data #practical fluid mechanics experience in the lab or in the field #international research experience #academic publication record #willingness to learn German For further questions please
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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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to undertake other duties, which are broadly in line with the above duties and responsibilities. Where to apply E-mail reunatech@rwth-aachen.de Requirements Research FieldEnvironmental scienceEducation