150 parallel-and-distributed-computing-"Multiple" positions at Nature Careers in Germany
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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of rare isotopes using an ion cooler Requirements: very good research-oriented university degree in a discipline that is relevant to our research fields (such as physics, computer science, electrical
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to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Deutsche Telekom Chair of Communication Networks offers a position under
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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Required Qualifications: Bachelor's or master's degree in computer science, software engineering, or a related field Proven experience in technical leadership roles on cloud-native or distributed system
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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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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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supports user-defined computing operations for combined data analysis, also has great potential for social applications. independent handling of challenging, inter- and transdisciplinary research projects in
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expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell