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with the aim of studying and understanding processes in materials, often related to moisture and durability aspects. The division has a large laboratory infrastructure and has a high focus on
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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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these pNTA results. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model
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cytometry assays is required · Experience of independent operation of a high-speed cell sorter is required · Experience of managing staff is required · Strong communication skills (verbal and written
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involves working closely with multidisciplinary teams and engaging with national and international collaborators in sustainable energy research. The successful candidate will contribute to high-impact
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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programming models and high-performance computing techniques and machine learning models. Practical experience in the programming of high-performance computing of AI and/or scientific computing applications
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. The successful candidate is expected to demonstrate strong potential for promotion to assistant professor, as evidenced by high-quality research performance and publication record. Responsibilities: Conduct
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coordinating research activities, ensuring high-quality outputs, and disseminating results through scientific publications and partnerships. Additionally, you will be part of a team of teachers and supervisors
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances