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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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centres Biocenter (Theodor Boveri Institute, Julius von Sachs Institute for Biosciences) Center for Computational and Theoretical Biology (CCTB) Center for Experimental Molecular Medicine (ZEMM
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | 43 minutes ago
Training in intercultural skills Projects with partners in Germany and abroad International comparisons and thematic reference to the international context Special promotion / funding of the programme IMPRS
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | about 1 hour ago
apply. Thus, the entire programme is in English, including all of the lectures and training courses. Therefore, a high proficiency in English as a second language is required for enrolment in
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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science technologies, and this is a perfect training opportunity for those who is interested in machine learning, data mining, artificial intelligence, and bioinformatics. High-performance computing may
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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approaches. Ensure validity and accuracy of data and compliance with quality control requirements. Design research projects, analyze findings, develop conclusions, write reports, prepare presentations
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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effective risk assessment and solutions. Trees4Adapt will 1) enhance empirical understanding of climate change, biodiversity loss, their interdependencies, and how these influence risks; 2) develop evidence