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department at www.es.aau.dk . The Centre for Acoustic Signal Processing Research at the Department of Electronic Systems, Section on Artifical Intelligence and Sound, Aalborg University, Denmark, aims to
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the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system/grading-system
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the role of emerging technologies in healthcare
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, or cybersecurity principles. Familiarity with signal processing, particularly with high-frequency sensor data (such as acoustics or vibration) is an advantage. Programming skills: You are proficient in Python
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sessions, utilizing cues like facial expressions, posture, and movements. These signals are crucial for understanding the therapy process but can be difficult to measure. The lab develops AI technology that
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according to the Danish 7-point grading scale (https://ufsn.dk/english/education/recognition-and-transparency/ ) • have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale
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point of this PhD to link experimental work to enzyme function and kinetics. You should have a solid foundation in chemistry and biotechnology, as well as both theoretical knowledge and hands
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(or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufsn.dk/english/education/recognition-and-transparency/ ) • have a weighted grade point average of at least 8.2 on the