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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization, or industrial engineering. Proficiency in Python and
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quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise
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programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge of machine learning techniques and statistical modeling for environmental applications. Excellent
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and avoid indirect land use emissions from the clearing of new forests. Requirements Programming skills, preferably in Fortran, Python / R Knowledge of remote sensing data processing and analysis
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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satellite imagery (e.g., Landsat, Sentinel) and other remote sensing data sources. Proficiency in programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge
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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https
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to move forward quickly and efficiently in a bibliographic analysis on a given theme and in the writing of scientific journals and articles. Where to apply Website https://www.timeshighereducation.com
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charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise in firmware development and optimization for microcontrollers and embedded systems