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Optical and Radio Technologies (ANCHOR)” The studentship covers UK fees and provides a generous salary, consumables, and travel budget. Extending high-speed wireless data transfer to the underwater
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adipocytes to brown adipocytes Perform other duties as assigned. A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi
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skills and a high level of organization with careful attention to detail This position requires a high degree of motivation, although extensive training and supervision will be provided Additional
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; to perform innovative and groundbreaking research in its related sub-disciplines; to promote and inspire discovery and learning that enhances patient care; and to contribute to the translation of scientific
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-of-the-art, high performance computing cluster You would join the Aerospace Environmental Impacts Simulation (AEIS) group The opportunity to continue your career at a world-leading institution and be
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University, is dedicated to advancing the understanding of physiology through excellence in education of medical and graduate students; to perform innovative and groundbreaking research in its related sub
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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collaborations. Participate in the planning and execution of the experiments to ensure the achievement of milestones of research projects. Perform literature review, data collection and management, involving
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operating in Reflection In this project, the researcher will explore high-resolution interference lithography processes for the generation of polarization converters with diffraction-limited performance
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. 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 experiments. They will