217 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:"-"U.S" Fellowship positions
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Field
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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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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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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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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the future La Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with
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, JOTA). Ability to work both in cooperation and independently as well as to formulate, verify and execute new ideas. Plus: Ability to implement and test algorithms, code and design statistical experiments
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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affected families, or other similar marginalised groups Skills and attributes Ability to conduct qualitative research to a high standard, including data collection, developing an analytical approach, coding