1,019 high-performance-quantum-computing-"https:"-"https:"-"https:" positions in Germany
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- The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence
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skills, and confidence in using computer applications. We require enthusiasm and excitement for our topics. What we offer We are committed to creating an inspiring working environment in which all
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are a plus. We are looking for a team player with good communication skills in English. Additional German language skills are welcome. For questions about this position, please contact Oliver Bossdorf
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sciences, computer science, a related course of study or a field of study suitable for your specialization Enthusiasm for technological challenges and industry-related research projects Interest in
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. Ideally, the candidate should have significant experience in co-developed research in agricultural landscapes with a focus on landscape water management. Basic German language skills and a willingness to
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Financial Intelligence Units (FIUs) and law enforcement authorities process large volumes of Suspicious Activity Reports (Geldwäscheverdachtsmeldungen - GVMs) containing unstructured text and structured information. Manual analysis is time-consuming and makes it difficult to identify relevant...
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented, young scientists the chance to work on cutting edge research
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available in the further tabs (e.g. “Application requirements”). Programme Description The merit-based programme gives outstanding international students the opportunity to study at Universität Hamburg
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 2 months ago
plasmonic nanostructures directly on suspended two-dimensional (2D) material membranes using electron beam lithography. In contrast to conventional electron beam lithography performed in a scanning electron
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30.05.2023, Academic staff Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years. Involvement in
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very