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Researcher to join the Machine Learning in Biomedicine group, in collaboration with the Precision Cancer Epigenomics group at NCMM, through the NORPOD program. Summary of the project Human tumors
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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: By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors, and physiological signals Endowing
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understand each other in the following ways: By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors
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machine learning (ML) algorithms for evolving ultra-massive MIMO scenario in the context of distributed/Cell Free MIMO with the objective to provision automated solutions for radio resource management
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. This design research topic takes the employee perspective on designing intelligent machines for hybrid teamwork. 6. Learning for provably safe and robust robotic systems Modern data-driven techniques have
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dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning, robotic learning, and business models related
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robotics, mechatronics, machine design, machine dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning and
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generated, part of the work will be to test various statistical data analysis methods and machine learning for efficient data analysis (e.g. regression analysis and image recognition). Based on the OES, image
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research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en Intelligent Work Machines (IWM) Doctoral Program is looking for Doctoral