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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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Transformers, llama.cpp, Scikit-learn, Pandas and/or Numpy First experience with SQL databases such as PostgreSQL or MS SQL, as well as with text and vector search engines such as Elasticsearch, Solr and/or
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