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<span lang="en">TU Berlin</span> | Berlin, Georgia | United States | about 8 hours ago
The Chair of Software and Business Engineering at Technische Universität Berlin (TU Berlin) is looking for a:
Research Assistant / PhD Student (m/f/d)
The position is
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-generation sequencing ( NGS ) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing, and data infrastructure
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Intelligence, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development
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-scale projects supporting AI innovation, federated data ecosystems, privacy-enhancing technologies, cloud-native platforms, and scientific computing environments. Working with faculty, researchers
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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these positions will be on quantum computing and quantum simulation, quantum networks, and quantum control. There will also be an opportunity to test theoretical results on cloud quantum processors
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Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research