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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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Television (CCTV) inspection videos, technical PDF reports, mapping data, and asset management databases, produced by different stakeholders and for various purposes. These data are often heterogeneous
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solid-state physics, optics, and quantum mechanics; - skills in developing numerical simulation codes and programming experimental; instrument controls; - ability to work as part of a team. Additional
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atmospheric models on clusters and supercomputers. Experience with code parallelization, MPI (Message Passing Interface), and performance optimization for large-scale simulations using models such as WRF-Chem
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix
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recent initiative, PyHC-chat, attempted to adapt GPT models by providing them with relevant code libraries and data endpoints from the PyHC framework to assist heliophysicists in writing code. However
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic
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-performance computing projects (cosmological and galactic simulations, code development). The successful candidate will also benefit from the vibrant scientific community on the Paris-Saclay University campus
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analysis. - Adapt the team's existing data analysis protocols as needed. Expertise in coding (Python, ImageJ) would be a plus. - Be able to communicate research results, whether within the team