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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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., with Python) Have taken courses in optimization, machine learning, or similar Be fluent in spoken and written English Not required, but a plus to: Have experience with energy or transportation modeling
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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areas above) and their grades. Strong programming skills (i.e., Python and main Machine Learning frameworks such as Pytorch). Experience with scientific writing (e.g., reports, theses, and scientific