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implement MR-based simulation platforms for training and process enhancement in remote construction. Apply machine learning techniques for optimizing construction assembly processes, predictive analytics, and
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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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of the appointment with a minimum of one year of eligibility remaining; Experience in collecting, managing, processing, and analyzing large datasets; Outstanding database management and analytics skills, including
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treatment technologies, including adsorptive removal, oxidative degradation, and thermal destruction, supported by laboratory and/or pilot-scale investigations. - Strong analytical skills and extensive
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spatiotemporal analytical approaches and software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch