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information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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, and training and benchmarking of language models. The research profile of the group is heavily machine-learning oriented, and the group has access to excellent HPC infrastructure. For more information
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. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine learning, and energy systems. The project will integrate real‑time
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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research and education directed towards the end-user. Your work tasks This position will involve working with real-time graphics, computer vision, applied AI and integrating Large Language Models (LLMs
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to "big data" in multi-omics and medical data for aging and diseases, such as
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There are many additional perks & programs with the CU Advantage . Qualifications: Minimum Qualifications: Bachelor’s degree in computer science, management/computer information systems, computer engineering
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large