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Field
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 9 hours ago
year, · experience with Linux operating systems and work in bash or Python, · experience with HPC applications including their installation, configuration and execution, · knowledge of application
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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Proficiency in Python programming is preferred Salary Commensurate with experience. Number of Vacancies Multiple Desired Start Date 06/01/2026 Posting Detail Information EEO Statement It is the policy
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, power electronics, and system protection. Strong programming skills (e.g., Python, C/C++, Julia) Researcher III (all above qualifications for Researcher II, plus): Demonstrated leadership in one or more
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions