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numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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join the team of Dr. Hennie Valkenier in the EMNS lab to receive training and work on different aspects of the development of synthetic ionophores: Design and molecular modelling of anion receptors, as
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offers a non-intrusive, low-cost, and privacy-preserving solution. The research will involve designing and testing experimental setups, collecting vibration data from simulated falls and everyday impacts
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knowledge of digital methods, particularly in the areas of geometric modelling, architectural and structural simulation and materialisation at various scales Interest and proven skills in digital and manual
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department