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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science
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of advanced materials. Research efforts will include the application of density functional theory packages and in-house codes, and the development of supplemental numerical tools, to describe
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independently on the topic. Good knowledge of force field codes (like Gromacs, Lammps, Raspa or similar) and density functional modelling with e.g. Quantum Espresso or VASP is crucial. You must have a good
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interviews and experimental sessions with young and older adults, transcription and coding of multilingual dialogue, and field user studies in local elder-care settings. The role involves close collaboration
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of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China. Postal code: 100049
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dynamics). Open, Reproducible Science Write clean, documented code; use version control (Git); build reproducible experiments. Prepare datasets and analysis outputs for publication and sharing (data
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-GEN-2026 How to Apply Click on Apply below to start your application. Applications for this opportunity will be accepted on a
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coding strategies, entanglement management, and adaptive quantum networking protocols. The research will explore the interaction between classical control communication and quantum information transfer