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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? · Performing multi-physics
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of the best universities in Europe. Top performance in research and teaching, interdisciplinarity and talent promotion are its hallmarks. In addition, it has strong alliances with companies and scientific
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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programming skills in R and/or Python; experience with shell scripting. Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger). Familiarity with high-performance computing
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written and spoken English skills High degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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and waste heat sources will need to integrate multiple supply options with varying temperature levels. To support effective planning, energy professionals at the district and city level must be able