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development, validation, and optimization of 3D-printed propellers. This includes conducting hydrodynamic analysis, finite element modeling, as well as overseeing site-based test bedding, data collection, and
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members on IntelliCage operations. Lead behavioral studies using IntelliCage to assess functional outcomes. Establish and optimize injury paradigms (e.g., TBI, CRCI) and therapeutic timelines. Collaborate
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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is
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Council of Norway called "Early life programming and conditioning in recirculating aquaculture systems (RAS) for safeguarding Atlantic salmon health and welfare (RASExpo)" in which we aim to optimize RAS
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into ¿human in the loop¿ workflows. This post is available for two years. Keywords: Geometric Deep
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/or Typhoon HIL and conduct real time simulation studies/experimentation. Design and develop an intelligent and optimal energy management system (EMS) controller for the optimal operation and
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optimization of a personalized cooling system by simulating various geometries, materials, and thermoelectric module configurations using COMSOL. • Develop and execute parametric studies to evaluate system