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Field
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related), molecular dynamics (GROMACS, NAMD) and docking (VINA and derivatives). - Proficiency in Python and Fortran languages and Bash scripting. - Proficiency in RDKIT and BioPython. - Proficiency in
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statistics; Experience with process-based models in ecology and biogeography; Knowledge of other programming languages (Julia, Python) and cluster-based computing. LanguagesENGLISHLevelExcellent Additional
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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programming languages such as Python, R, or MATLAB. Strong written and verbal communication skills with a record of publications in reputed journals.
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for reporting tools, experience using AI in data analysis, proficiency in dashboard creation with platforms such as Tableau or Power BI, and programming experience with R and Python. The ideal candidate will have
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programming languages (e.g. Python, C++, Julia) and familiarity with version control and collaborative software development practices Strong written and verbal communication skills Ability to work independently
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learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python
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experience in writing successful research proposals Experience in research project management or coordination Solid software development skills in Python; C/C++ is a plus Fluency in English is required
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degree, has demonstrated ability to conduct both structural and reduced-form empirical research with large datasets. This includes strong programming skills in Python and experience with at least one
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devices, with emphasis on lithium-ion, sodium-ion, and lead-acid battery systems. Modeling and analysis will leverage tools such as COMSOL, MATLAB, Excel, Python, and related scientific software. The role