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and production of software tools for in silico screening of chemical libraries and rational drug design of molecules for therapeutic purposes. - Contribute to the development of a high-throughput
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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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research group of 6 permanent staff members, 3 PhD students and 2 non-permanent researchers within the Electronics team. He/she will also collaborate with other teams on campus, in particular the CIMAP
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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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analysis. - Define one (or several) precise research questions and perform data analysis to explore them. - Write scientific papers and give scientific presentations in international meetings. - Participate