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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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, Statistics or a related field and are motivated to apply advanced analytics to real-world digital health challenges. You have strong foundations in signal processing and are confident working in Python
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science, embeddings and software agents is welcomed. The EBU-NEO tech-stack consists of: Python, LangChain, LangGraph, MongoDB, Milvus, Elastic Search. Knowledge from the fields of media science, user
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in remote sensing with satellites Experience in Python, Julia
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, interpretive analysis) Affinity with real-world applications and openness to working with public or private sector organisations. Demonstrable programming skills, for example, experience in Python or R
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developing Python software and optimization workflows in Pyomo/PyROS is desired. This is a fixed-term position of up to 6 months and is inclusive of competitive salary and full-time benefits. The starting date
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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multi-disciplinary environment where collaboration is strongly encouraged. We are committed to truly cross-disciplinary science. Further details of research in the Reisner group is at: https
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental