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- NTNU Norwegian University of Science and Technology
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Field
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skills (mandatory): Strong understanding of sustainable AI or related areas Experience of programming in Python / C / Java or equivalent Experience with using Machine Learning software, e.g. PyTorch
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working environment is characterized by a friendly, supportive atmosphere, with regular gatherings such as research group professional meetings, weekly colloquia, shared lunches, and “Friday coffee
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Science; Have knowledge of SQL, Python, ArcGIS, Power BI, Java, and SAS. Work plan and goals to achieve The work focuses on developing an Integrated Analytical Platform for Territorial Intelligence – Smart
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include a thesis of at least 30 ECTS. Fluent oral and written communication skills in English. Documented programming skills in a relevant language (e.g. Matlab, LabVIEW, Java, C++, IgorPro). Must be
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regular gatherings such as professional meetings within the research group, weekly colloquia, shared lunches, and “Friday coffee” sessions to end the week. These formal and informal events offer
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activities and/or supervise Master's students Requirements: A Master's degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields Strong programming skills (Python, Java, C++, etc