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Field
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research combines atomic physics, quantum control, and scalable architectures for fault-tolerant quantum computation, hybrid quantum simulation, and quantum-enhanced sensing. Project background Our group
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for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed
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understanding genetic architecture). Qualifications and specific competences The postdoc position focuses on developing statistical methods, therefore the candidates must be able to demonstrate they have skills
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Job Description If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences, then this position as Postdoc is your possibility. In this collaboration
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hyperspectral — to support early warning, strategic situational awareness and the monitoring of emerging risks. A key focus of the fellowship will be the development of explainable AI architectures capable not
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for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring interoperability with Medical
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, distributed systems. Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines Experience in language modeling research and LLMOps, including but not limited to LLM
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qualifications at PhD level at the time of employment. Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations
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Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD and master’s researchers advancing the next generation of energy efficiency
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project coordination and industrial engagement. The Intelligent Efficiency Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD