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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis
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-solving abilities. Strong written and oral communication skills in both English and French. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics
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analysis in biotechnology contexts. Proficiency in relevant software tools for research, data analysis, and teaching (e.g., MATLAB, Python, bioinformatics tools). Strong problem-solving and critical-thinking
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. Proficiency in relevant software tools for research, data analysis, and teaching (e.g., MATLAB, Python…). Strong problem-solving and critical-thinking skills. Ability to work in a multidisciplinary team and
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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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of postdoctoral experience or equivalent in using DFT for studying reaction mechanisms and materials. Demonstrated programming skills (Python, Fortran, C++). Proven track record of publishing scientific papers in
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, and teaching (e.g., MATLAB, Python, bioinformatics tools). Strong problem-solving and critical-thinking skills. Ability to work in a multidisciplinary team and collaborate across academic and industry