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- 
                Field
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                Fishes” (Grant nº 2024/03891-8), starting in 2026. Requirements: -Ph.D. degree obtained no more than 7 years ago in Animal Genetics or related fields; -Proficiency in bioinformatics tools, such as Linux 
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                of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in 
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                /Linux environment; - Good command of scientific English, both written and spoken (certified level). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7285-CARNOE-068/Default.aspx 
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                programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms: The successful 
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                essential. Proficiency in Linux/Unix is also required. • Required experience: PhD. • Duration of the contract: 24 months, starting in early 2026 Please send CV, cover letter and at least two referees to 
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                (Perl or Python, R, Linux tools, bash scripting) Experience in presenting at conferences Excellent publication record Strong motivation and dedication, scientific writing skills, problem-solving skills 
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                Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr 
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                writing skills, fluent in English Programming under Linux environment Specific Requirements Experience in large-eddy simulations or radiation modelling in complex canopy Rigorous, autonomous, creative and 
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                ) Comfortable working in a Linux environment Experience with data processing pipelines and data analysis The successful candidate should have experience with development of open-source computational tools 
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                analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience