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or Full Professor in Applied Mathematics. The search is open to any area of Applied Mathematics combined with experiments. The successful candidate will be expected to bring an experimental component to
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on the candidate’s strengths and will include a teaching component and either research or Extension component. In addition to teaching and curricular contributions to the department’s largest undergraduate major
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animals and humans, contacts with the environment are not avoided and sometimes even actively sought. We will deploy this inspiration from biology to design truly robust machines with distributed control
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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maintenance, install and repair utility distribution systems such as water/sewer, steam/condensate; assemble, install and test a variety of metal and non-metal pipe and fittings including brass, copper, steel
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specifications, understanding units of measurement associated with different material types, measuring tools and unit conversions as needed to perform basic machining processes and metal cutting including the use
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the total compensation value with benefits. Qualifications Three years Experience working in one or more of the following fields: computer science, cybersecurity, computer information systems, or related
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about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Painter Do you enjoy not sitting behind a desk? Do
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 days ago
Methods and Programs in Biomedicine Update, 2024, 5:100148. https://doi.org/10.1016/j.cmpbup.2024.100148 de Hond, A.A.H., Leeuwenberg, A.M., Hooft, L. et al. Guidelines and quality criteria for artificial
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI