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? To address these questions, the applicant will combine state-of-the-art emission models for photoionized, photodissociated, and shocked gas (CLOUDY, Meudon PDR, and Paris-Durham codes) to disentangle
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code, and disseminate the results through scientific publications and presentations. The AstroDeep project aims to harness the full informational content of large Phase IV imaging surveys by developing a
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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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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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from cryo-TEM images. • Proficiency in RELION or cryoSPARC. • Experience in the reconstruction of helical systems would be an advantage. • Use of a Linux operating system for code development
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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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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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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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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