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to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning, AI, and other algorithmic techniques in qualitative
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, AI, and other algorithmic techniques in qualitative social scientific research. In line with the interdisciplinary and reflexive ethos of DIVSOL, attention to the societal implications of AI is an
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Research Institutes in Finland. The programme is funded from the Finnish government’s multi-annual research and development (R&D) funding plan. The programme recruits 85 new postdoctoral researchers to 12
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core facilities offering a wide variety of basic and advanced light microscopy techniques to several hundred local, national and international users annually. Specific tasks Develop and apply different
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techniques to several hundred local, national and international users annually. Specific tasks Develop and apply different image analysis approaches to, for example, segment, track, and characterize cellular
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Video Sensorization for Secure Healthcare Monitoring (SViSenS) project, which develops privacy-preserving, AI-driven video-based monitoring technologies for healthcare. Your responsibilities include: You
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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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such as earth with different sizes of rocks. 2) Development of advanced control algorithms integrated with force and loss models to prevent overloads and hazardous situations, ensuring operational
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Researchers (fixed-term, 2 years) We are looking for motivated postdoctoral researchers to work on different aspects of the project, including: Materials physics: development of memristive synaptic crossbars
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU