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Field
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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There are 2 types of Postdoctoral Fellowships European Postdoctoral Fellowships: Theyare open to researchers moving within Europe or coming to Europe from another part of the world to pursue their research career. These fellowships take place in an EU Member State or Horizon Europe Associated...
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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of Physics at the University of Warwick is seeking a highly motivated and talented Research Fellow to contribute to pioneering research in the development of quantum magnetic sensors and advanced imaging
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Role Description A research position is available to support research to enhance observations of human exposure to air pollution and other pollutants using sensor-based approaches. Air pollution is
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Donations for the next generation of Entrepreneurs The UZH Entrepreneur Fellowships are made possible thanks to generous donations by the Werner Siemens Stiftung ,Hans Eggenberger Stiftung and Ernst Göhner Stiftung . UZH Foundation is responsible for finding support for the University of...
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, feeding behavior monitoring, and associated visual analytics. Investigate and integrate physiological and behavioral data from diverse IoT environmental sensors for multi-modal stress detection together
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems