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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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of brain and other mouse tissues.•Animal experimentation, including injections, perfusion, etc.•Molecular and cellular biology experimentation (e.g., PCR, Immunoblotting, cell culture)•Maintenance
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will be based on simulated and real data collected from beamline experiments and will require collaboration with specialists in physics, optics, and instrumentation. The position involves both
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Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
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and Guidance, within the Department of Education and Social Work. The person will be part of a dynamic organisational context of a growing, globally connected research university. The postdoctoral
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skills, solid stakeholder management and strong communication skills Ability to quickly adapt and effectively organize, prioritize, and execute tasks in a highly dynamic environment with attention
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the host, the virus and the mosquito vector. The post-doctoral fellow will more specifically investigate on the host side using recently established experimental systems to study the dynamics of Zika virus
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international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The successful applicant will join a dynamic team of researchers working on the AHRC & FNR