Sort by
Refine Your Search
-
. Proven track record of high-quality research and publications. Solid programming and modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum
-
modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum communication experiments is a plus. Excellent written and verbal communication skills
-
models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant air quality modeling tools. Experience with large datasets and data processing
-
such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
-
Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
-
sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical
-
programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
-
, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis, thermography, and field measurements. Teamwork and collaborative problem-solving abilities. Strong
-
machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
-
methods. Programming languages, i.e. Python, Matlab, ... Level of experience evidenced by publications in peer-reviewed journals. Fluent in French and English. Experience of working as a member of a