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Field
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that: You have an open mind and can think creatively in a computational and/or programming context. You are interested in combining your physics-based modelling skills with data-driven analysis
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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deep learning methods to enhance the predictions beyond existing data. By incorporating microstructural features into predictive models, the aim is to create a reliable data-driven modelling framework
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-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA accelerates
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is your gateway. As
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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, such as engineering, physics, statistics, or mathematics (minimum requirement is a four-year Bachelor’s degree with honours) The research area The AITHYRA-CeMM PhD Program will focus on the thematic areas
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Mathematics Economics Management Science & Engineering (more...) Computer Science and