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to: Master’s degree in Data Science; Enrollment in PhD program in Information Management; Solid knowledge of qualitative and quantitative data analysis, including experience with surveys, experimental studies
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have the grade B or better in the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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also involve analysis of massive data sets either in the cloud or on premises. They may require creation of novel data science techniques, software pipelines for processing of real-time high-frequency
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 26 days ago
of sustainability in the agri-food sector - Data analysis and curation - R programming Specific Requirements Prior knowledge of database management and statistical and graphical analysis. Knowledge of the agri-food
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strategies that strengthen skills, jobs, and workforce resilience towards 2050. Join our team to drive innovations that support urban resilience. This is your chance to make a real impact! Information As a PhD
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, Seebeck coefficient, etc. IA-driven data analysis and smart growth implementation For the first three activities, the PhD candidate will benefit from the broad range of expertise and facilities available
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driven single-photon devices. Collaborate with PI, researchers, and students on device development, data analysis, and interpretation. Prepare high-impact journal publications, conference papers, and