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to data-driven models. The aim of this master’s thesis is to systematically analyse Krylov subspace recycling methods for dense linear matrices and to optimize them with respect to their performance
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and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.
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Ph.D.) in biology, biochemistry, biotechnology or a related field and have published previously in peer-reviewed journals. Knowledge in single-cell RNA-seq, laboratory automation and data analysis, and
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
compliant with ISO 9001, EN 9100, or IATF 16949 Good knowledge of German Additional information The advertised position is initially limited to 2 years and should be filled as soon as possible
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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deformation and damage model for high-temperature fatigue Performing FE simulations of damage development at the microstructure and component levels Exchanging information and presenting the results with and to
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, university and non-university research institutions are working together in a unique collaboration on data-driven technologies and smart applications. With the new research center for cybersecurity, Heilbronn
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microscope. Depending on your experience, support us with chemical and analytical questions. You prepare samples using tools such as a wafer saw or ion polisher. You contribute to data analysis and
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines