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in both instrument and algorithm technologies. The researcher will contribute to the development of the project’s research lines within the macro-themes “Resilience to extremes” and “Sustainable water
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algorithms into UAV platforms. • Conduct field experiments and system validation for UAV swarm behaviors. • Prepare technical reports. Job Requirements: • Master in Electrical
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imaging (MRI). The Computational Biomedical Imaging Group (CBIG) pursues research on the development of new algorithms for the reconstruction and post-processing of medical and biological images. Active
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical
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Algorithm Developer (KTP Associate) ( Job Number: 25001803) Department of Mathematical Sciences Grade 7: - £41,064 - £46,049 per annum Fixed Term - Full Time Contract Duration: 18 months Contracted
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of the developed algorithms) Empirical investigation of use cases Scientific exchange and publication of results This position offers the possibility to acquire a PhD degree, which is encouraged. This research
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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–machine interfaces in general. The candidate tasks will be: Develop methods and algorithms aimed at increasing the realism of virtual agents in simulation, particularly pedestrians; explore realism through
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is on fundamental limits, and development of algorithms and methods. Applications can be found in, for example, signal, image and video processing for autonomous vehicles and swarms of drones; massive