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. Project Description Today, the concept of ‘ecological anxiety’ is widely used in academic, political, medical, and public discourse. The emotions this concept captures, however, remain ambiguous, since
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cardiac views as required in a standard echocardiographic examination. This should be accomplished by combining advanced medical image analysis techniques to interpret ultrasound data with intelligent
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sustainability. Proficiency in English speaking, reading and writing. Strong analytical and methodological skills, with proven experience in one of the following: material flow analysis (MFA), system dynamics (SD
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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analysis. It poses challenges, particularly in real-world implementation, testing with real data, and widespread acceptance of novel technologies. Expected outcomes include the development of mobile apps and
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synthetic and real datasets. Developing software tools compatible for integrated use with popular data analysis packages, to be made available for public distribution. Eligibility Essential: Relevant Master’s
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analysis techniques to interpret ultrasound data with intelligent robotic control strategies that ensure precise, safe, and patient-friendly probe positioning. The candidate will be responsible
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paradigms to control singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded
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Structure Analysis, and interest in industrial applications and cooperation to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for
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encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number