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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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(e.g., SQL, Python, Power BI) to develop efficient data workflows and enhance system performance. Collaborate with finance, schools, and operations teams to align technical processes with institutional
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experience Proficiency in Python programming and experience with databases, SQL, and data modelling Demonstrated experience developing data pipelines and ETL processes using tools such as Apache Airflow
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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To