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Field
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of merits The following merits will be assessed and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (5 points for each course
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multi-omics data (RNA-seq, ATAC-seq, proteomics). Familiarity with spatial transcriptomics platforms (e.g., Visium, Xenium). Skilled in R and Python programming. Proficient in Linux environments and HPC
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) Proven experience of at least 10 years in design and development of software projects and distributed services (2) Knowledge and programming skills in Go, Python, C, JavaScript, etc. (3) Knowledge and
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professional growth and development Specific Requirements Previous experience in crop modelling would be an advantage Programming skills – preferably in Python Experience or knowledge in crop physiology and soil
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depolymerization processes, implementation of advanced plasma-based techniques. Contribute to data analysis and interpretation with MATLAB/Python, maintaining meticulous electronic lab notebooks and reproducible
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studied Specific Requirements Familiarity with statistical programming languages (e.g., R and/or Python) will be valued. Familiarity with statistical programming languages (e.g., R / RStudio and/or Python
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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, excellent computational skills: Python, Fortran, HPC. Language skills: Fluent in English, Spanish is not required but advantageous. LanguagesENGLISHLevelExcellent Additional Information Benefits A competitive
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tools, and software such as Matlab/Simulink, PowerFactory, and Python. Main Tasks: Develop a taxonomy of the interactions caused by electronic converters in modern electrical energy systems. Determine
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements