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try again. 14th May 2024 Languages English English English PhD Research Fellow in Machine Learning/Signal Processing for Planetary Ground Penetrating Radar Apply for this job See advertisement About the
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how to apply: https://www.jobbnorge.no/en/available-jobs/job/262098/phd-research-fellow-in-machine-learning-signal-processing-for-planetary-ground-penetrating-radar Requirements Research
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the master's degree has been awarded. Documented education or work experience in all the following topics is required: Ultrasound, experimental work including acquisition and processing of electronic signals
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choices. It should also indicate the methodologies to be used. The final project description will be developed in cooperation with the supervisor. Template for project description can be found here
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Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is hosted by this Department. The Department offers a bachelor
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and Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is
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the following topics is required: ultrasound experimental work including acquisition and processing of electronic signals programming, preferably in Python and/or MATLAB Applicants must be able to work
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amplitudes, or phase (travel time). Such signal changes carry information about events and processes such as, e.g., crack formation, dimensional changes, delamination, marine growth, scale and wax formation
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of the PhD candidate. It is imperative that the applicant in the cover letter clearly addresses, point-by-point, all the required qualifications. SMN is an interdisciplinary centre, promoting research in
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. Desired qualifications Knowledge in: Actuation and control Smart Monitoring – Condition monitoring, fault diagnosis Computer Vision – 3D camera, point cloud Sensor technology Battery characterisation e.g