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field. Experience and skills Experience in R&D projects related to the field of data analytics and modelling in Energy, Environment, Mobility or Climate, among others. Strong programming skills in Python
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interpersonal skills with team-oriented mind-set Interest in setting-up new academic and industrial collaborations. Advanced programming skills (e.g. Python) would be considered as an asset. Language skills
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, Mobility or Climate, among others. Strong programming skills in Python/R, machine learning frameworks, and dashboarding tools (e.g., Streamlit, Superset, Grafana, PowerBI). Familiarity with various types
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of micropollutants Good basics in hydrological and substance flow modelling Experience in statistical data evaluation and programming skills (R, Python, etc.) Language skills Fluency in English and French or German
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
demonstrated proficiency with computer coding, such as Python, MATLAB, R, and expertise in statistical modelling. · Experience in designing, planning, and conducting experimental procedures, including
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closed-loop interaction with real hardware and field devices. Strong programming skills in Python, C/C++, and experience with data-centric control and monitoring architectures. Experience working in
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, machine learning, robotics, aerospace engineering, and/or image/signal processing Experience with European, national, and/or industrial projects A solid mathematical background Proficiency in Python, Matlab