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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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opportunity to work across two strong and complementary research environments. English is the working language in both groups. The postdoc will have access to scientific mentoring, international networks, high
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The Signal Processing and Communications (SigCom) research group of SnT, headed by Prof. Symeon
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systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research
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systems that combine multiple distributed transducers into a coherent imaging platform. You will develop novel methods for multi-aperture ultrasound acquisition, ultrasound-based probe localisation, and