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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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Required knowledge: - Degree: PhD, Engineering - Continental biogeochemistry - Environment and professional networks - Organization and functioning of higher education and public research - Language: English
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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of validity ; -Development of public software tools for the purpose of EFT fits, including extended likelihood information from the experiments; development of a suitable format for fast “simplified
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- 10 Additional Information Eligibility criteria Key competencies: PhD in cognitive science / cognitive neuroscience with experience in cognitive neuroimaging; Programming languages / software
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to defined deadlines, including preparing monthly reports in English. The candidate will also serve as a liaison between project partners and will present results to the project coordinators. The postdoctoral