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of neutron beams, and its exploitation in neutron-based quantum information processing. Experimental and theoretical proposals are solicited which develop improved techniques for atom or neutron interferometry
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/deep learning and image processing/tomography advanced programming skills in Python excellent command of English (written and spoken) Assets: team-oriented mindset with strong communication and
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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Characterize produced cell lines by confocal microscopy and flow cytometry to ensure insert stability and functionality. o Ensure full traceability of the process and analyse data from imaging and quality
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influences on grief, self-related processes, loneliness, and cultural background). In addition, the postdoctoral researcher will take primary responsibility for the execution of the study. The project involves
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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Administrator Working Title HPC Systems Administrator I or II Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
project strategy while helping coordinate efforts across multiple parallel projects. We are seeking candidates who thrive in a fast-paced, innovation-driven environment and who are excited to work across
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling