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research and development programs through algorithm development and implementation in disciplines such as signal processing, statistical and mathematical modeling, and acoustical modeling and simulation
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algorithmic expertise to lead and support cutting-edge research in long-read genomics, tandem repeat (TR) analysis, and population-scale variant discovery. Our group develops novel methods and performs large
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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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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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description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1
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Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. He/she will develop
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The development and integration of precision livestock farming tools represent a key element for optimizing and designing predictive models aimed at monitoring animal welfare. Available technologies and sensors
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candidate will work on algorithm development for contact-rich robotic manipulation, integrating perception, planning, and control within a real-world robotic system. Job Responsibilities： Develop, implement
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organisations such as the European Space Agency (ESA) to carry out research on a number of ongoing projects, including PHYTO-CCI , TIME and CAMP . The work will include development of ocean colour algorithms
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Informatics (Computational), Data Science or a closely related field. Demonstrated expertise in Python and SQL for data analysis, algorithm development, and visualization. Experience with large-scale